From 1aa48750cc5babaa6094d8a9bd0b93c968133f0a Mon Sep 17 00:00:00 2001 From: guoguibing Date: Tue, 17 Jun 2014 09:57:05 +0800 Subject: [PATCH] documents added --- .../{ => librec-v1.0}/allclasses-frame.html | 0 .../{ => librec-v1.0}/allclasses-noframe.html | 0 .../{ => librec-v1.0}/constant-values.html | 0 .../{ => librec-v1.0}/deprecated-list.html | 0 librec/doc/{ => librec-v1.0}/help-doc.html | 0 .../index-files/index-1.html | 0 .../index-files/index-10.html | 0 .../index-files/index-11.html | 0 .../index-files/index-12.html | 0 .../index-files/index-13.html | 0 .../index-files/index-14.html | 0 .../index-files/index-15.html | 0 .../index-files/index-16.html | 0 .../index-files/index-17.html | 0 .../index-files/index-18.html | 0 .../index-files/index-19.html | 0 .../index-files/index-2.html | 0 .../index-files/index-3.html | 0 .../index-files/index-4.html | 0 .../index-files/index-5.html | 0 .../index-files/index-6.html | 0 .../index-files/index-7.html | 0 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All Classes

+
+ +
+ + diff --git a/librec/doc/librec-v1.1/allclasses-noframe.html b/librec/doc/librec-v1.1/allclasses-noframe.html new file mode 100644 index 000000000..aba04c7db --- /dev/null +++ b/librec/doc/librec-v1.1/allclasses-noframe.html @@ -0,0 +1,62 @@ + + + + + +All Classes + + + + +

All Classes

+
+ +
+ + diff --git a/librec/doc/librec-v1.1/constant-values.html b/librec/doc/librec-v1.1/constant-values.html new file mode 100644 index 000000000..2fab250b4 --- /dev/null +++ b/librec/doc/librec-v1.1/constant-values.html @@ -0,0 +1,115 @@ + + + + + +Constant Field Values + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Constant Field Values

+

Contents

+
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/deprecated-list.html b/librec/doc/librec-v1.1/deprecated-list.html new file mode 100644 index 000000000..1bd1119c6 --- /dev/null +++ b/librec/doc/librec-v1.1/deprecated-list.html @@ -0,0 +1,164 @@ + + + + + +Deprecated List + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Deprecated API

+

Contents

+ +
+
+ + + + + + + +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/help-doc.html b/librec/doc/librec-v1.1/help-doc.html new file mode 100644 index 000000000..444ad4f3e --- /dev/null +++ b/librec/doc/librec-v1.1/help-doc.html @@ -0,0 +1,220 @@ + + + + + +API Help + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

How This API Document Is Organized

+
This API (Application Programming Interface) document has pages corresponding to the items in the navigation bar, described as follows.
+
+
+ +This help file applies to API documentation generated using the standard doclet.
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-1.html b/librec/doc/librec-v1.1/index-files/index-1.html new file mode 100644 index 000000000..4a3171f3f --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-1.html @@ -0,0 +1,173 @@ + + + + + +A-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

A

+
+
add(int, int, double) - Method in class librec.data.DenseMatrix
+
+
Add a value to entry [row, column]
+
+
add(DenseMatrix) - Method in class librec.data.DenseMatrix
+
+
Do A + B matrix operation
+
+
add(SparseMatrix) - Method in class librec.data.DenseMatrix
+
+
Do A + B matrix operation
+
+
add(double) - Method in class librec.data.DenseMatrix
+
+
Do A + c matrix operation, where c is a constant.
+
+
add(int, double) - Method in class librec.data.DenseVector
+
+
Add a value to entry [index]
+
+
add(double) - Method in class librec.data.DenseVector
+
 
+
add(DenseVector) - Method in class librec.data.DenseVector
+
+
Do vector operation: a + b
+
+
add(DiagMatrix) - Method in class librec.data.DiagMatrix
+
 
+
add(double) - Method in class librec.data.DiagMatrix
+
+
Each diagonal entry addes val
+
+
add(int, int, double) - Method in class librec.data.SparseMatrix
+
+
Add a value to entry [row, column]
+
+
add(int, double) - Method in class librec.data.SparseVector
+
+
Add a value to entry [idx]
+
+
add(int, int, double) - Method in class librec.data.SymmMatrix
+
+
add a value to entry (row, col)
+
+
algoName - Variable in class librec.intf.Recommender
+
+
Recommender-specific parameters
+
+
AR - Class in librec.ext
+
+
Choonho Kim and Juntae Kim, A Recommendation Algorithm Using + Multi-Level Association Rules, WI 2003.
+
+
AR(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ext.AR
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-10.html b/librec/doc/librec-v1.1/index-files/index-10.html new file mode 100644 index 000000000..524c7dfd1 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-10.html @@ -0,0 +1,184 @@ + + + + + +M-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

M

+
+
main(String[]) - Static method in class librec.main.LibRec
+
 
+
MatrixEntry - Interface in librec.data
+
+
An entry of a matrix.
+
+
mean() - Method in class librec.data.DenseVector
+
 
+
mean() - Method in class librec.data.SparseMatrix
+
 
+
mean() - Method in class librec.data.SparseVector
+
 
+
measures - Variable in class librec.intf.Recommender
+
 
+
minus(DenseMatrix) - Method in class librec.data.DenseMatrix
+
+
Do A + B matrix operation
+
+
minus(SparseMatrix) - Method in class librec.data.DenseMatrix
+
+
Do A + B matrix operation
+
+
minus(double) - Method in class librec.data.DenseMatrix
+
+
Do A + c matrix operation, where c is a constant.
+
+
minus(int, double) - Method in class librec.data.DenseVector
+
+
Substract a value from entry [index]
+
+
minus(double) - Method in class librec.data.DenseVector
+
 
+
minus(DenseVector) - Method in class librec.data.DenseVector
+
+
Do vector operation: a - b
+
+
minus(DiagMatrix) - Method in class librec.data.DiagMatrix
+
 
+
minus(double) - Method in class librec.data.DiagMatrix
+
+
Each diagonal entry abstracts val
+
+
MostPopular - Class in librec.baseline
+
+
Baseline: items are weighted by the number of ratings they received.
+
+
MostPopular(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.MostPopular
+
 
+
mult(DenseMatrix) - Method in class librec.data.DenseMatrix
+
+
Matrix multiplication with a dense matrix
+
+
mult(SparseMatrix) - Method in class librec.data.DenseMatrix
+
+
Matrix multiplication with a sparse matrix
+
+
mult(DenseVector) - Method in class librec.data.DenseMatrix
+
+
Do matrix x vector between current matrix and a given vector
+
+
mult(SparseVector) - Method in class librec.data.DenseMatrix
+
 
+
mult(SparseMatrix, DenseMatrix) - Static method in class librec.data.DenseMatrix
+
+
Matrix multiplication of a sparse matrix by a dense matrix
+
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-11.html b/librec/doc/librec-v1.1/index-files/index-11.html new file mode 100644 index 000000000..4c4b712fb --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-11.html @@ -0,0 +1,140 @@ + + + + + +N-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

N

+
+
NMF - Class in librec.ext
+
+
Daniel D.
+
+
NMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ext.NMF
+
 
+
norm() - Method in class librec.data.DenseMatrix
+
 
+
numColumns() - Method in class librec.data.DenseMatrix
+
 
+
numColumns() - Method in class librec.data.SparseMatrix
+
 
+
numItems() - Method in class librec.data.DataDAO
+
 
+
numRates() - Method in class librec.data.DataDAO
+
 
+
numRows() - Method in class librec.data.DenseMatrix
+
 
+
numRows() - Method in class librec.data.SparseMatrix
+
 
+
numUsers() - Method in class librec.data.DataDAO
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-12.html b/librec/doc/librec-v1.1/index-files/index-12.html new file mode 100644 index 000000000..72cb20149 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-12.html @@ -0,0 +1,122 @@ + + + + + +O-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

O

+
+
outer(DenseVector) - Method in class librec.data.DenseVector
+
+
Do vector operation: a * b^t
+
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-13.html b/librec/doc/librec-v1.1/index-files/index-13.html new file mode 100644 index 000000000..76f5ffbbb --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-13.html @@ -0,0 +1,160 @@ + + + + + +P-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

P

+
+
paramIdx - Static variable in class librec.main.LibRec
+
 
+
params - Static variable in class librec.intf.Recommender
+
 
+
PD - Class in librec.ext
+
+
Pennock et al., Collaborative Filtering by Personality Diagnosis: A + Hybrid Memory- and Model-based Approach, UAI 2000.
+
+
PD(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ext.PD
+
 
+
PMF - Class in librec.rating
+
+
Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix + Factorization, NIPS 2008.
+
+
PMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.PMF
+
 
+
PRankD - Class in librec.ext
+
+
Neil Hurley, Personalised ranking with diversity, RecSys + 2013.
+
+
PRankD(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ext.PRankD
+
 
+
printDistr(boolean) - Method in class librec.data.DataDAO
+
+
print out distributions of the dataset
+ + + #users (y) -- #ratings (x) (that are issued by each user) + #items (y) -- #ratings (x) (that received by each item) +
+
+
printSpecs() - Method in class librec.data.DataDAO
+
+
print out specifications of the dataset
+
+
product(DenseMatrix, int, DenseMatrix, int) - Static method in class librec.data.DenseMatrix
+
+
dot product of row x col between two matrices
+
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-14.html b/librec/doc/librec-v1.1/index-files/index-14.html new file mode 100644 index 000000000..759aa2058 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-14.html @@ -0,0 +1,217 @@ + + + + + +R-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

R

+
+
RandomGuess - Class in librec.baseline
+
+
Baseline: predict by a random value in (minRate, maxRate)
+
+
RandomGuess(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.RandomGuess
+
 
+
RankALS - Class in librec.ranking
+
+
Takacs and Tikk, Alternating Least Squares for Personalized + Ranking, RecSys 2012.
+
+
RankALS(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ranking.RankALS
+
 
+
RankSGD - Class in librec.ranking
+
+
Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012 + (KDD Cup 2011 Track 2).
+
+
RankSGD(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ranking.RankSGD
+
 
+
rateDao - Static variable in class librec.intf.Recommender
+
 
+
rateMatrix - Static variable in class librec.intf.Recommender
+
 
+
readData() - Method in class librec.data.DataDAO
+
+
Default relevant columns {0: user column, 1: item column, 2: rate + column}; otherwise try readData(int[] rels)
+
+
readData(boolean) - Method in class librec.data.DataDAO
+
 
+
readData(int[], boolean) - Method in class librec.data.DataDAO
+
+
Read data from the data file
+
+
readme() - Static method in class librec.main.LibRec
+
+
Print out software information
+
+
Recommender - Class in librec.intf
+
+
General recommenders
+
+
Recommender(SparseMatrix, SparseMatrix, int) - Constructor for class librec.intf.Recommender
+
+
Constructor for Recommender
+
+
Recommender.Measure - Enum in librec.intf
+
 
+
RegSVD - Class in librec.rating
+
+
Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value + Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop, + 2007.
+
+
RegSVD(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.RegSVD
+
 
+
row(int) - Method in class librec.data.DenseMatrix
+
 
+
row(int, boolean) - Method in class librec.data.DenseMatrix
+
 
+
row() - Method in interface librec.data.MatrixEntry
+
+
Returns the current row index
+
+
row(int) - Method in class librec.data.SparseMatrix
+
+
get a row sparse vector of a matrix
+
+
row(int, int) - Method in class librec.data.SparseMatrix
+
+
get a row sparse vector of a matrix
+
+
row(int) - Method in class librec.data.SymmMatrix
+
+
Retrieve a complete row of similar items
+
+
rowMult(DenseMatrix, int, DenseMatrix, int) - Static method in class librec.data.DenseMatrix
+
+
row x row of two matrix
+
+
rows() - Method in class librec.data.SparseMatrix
+
 
+
rowSize(int) - Method in class librec.data.SparseMatrix
+
+
query the size of a specific row
+
+
rowZeros(int) - Method in class librec.data.SparseMatrix
+
+
get a list of entries (for a specific row) with values 0
+
+
RSTE - Class in librec.rating
+
+
Hao Ma, Irwin King and Michael R.
+
+
RSTE(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.RSTE
+
 
+
run() - Method in class librec.intf.Recommender
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-15.html b/librec/doc/librec-v1.1/index-files/index-15.html new file mode 100644 index 000000000..4422cde39 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-15.html @@ -0,0 +1,277 @@ + + + + + +S-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

S

+
+
scale(double) - Method in class librec.data.DenseMatrix
+
 
+
scale(double) - Method in class librec.data.DenseVector
+
 
+
scale(double) - Method in class librec.data.DiagMatrix
+
 
+
set(int, int, double) - Method in class librec.data.DenseMatrix
+
+
Set a value to entry [row, column]
+
+
set(int, double) - Method in class librec.data.DenseVector
+
+
Set a value to entry [index]
+
+
set(double) - Method in interface librec.data.MatrixEntry
+
+
Sets the value at the current index
+
+
set(int, int, double) - Method in class librec.data.SparseMatrix
+
+
Set a value to entry [row, column]
+
+
set(int, double) - Method in class librec.data.SparseVector
+
+
Set a value to entry [idx]
+
+
set(int, int, double) - Method in class librec.data.SymmMatrix
+
+
set a value to entry (row, col)
+
+
set(double) - Method in interface librec.data.VectorEntry
+
+
Sets the value at the current index
+
+
setRow(int, double) - Method in class librec.data.DenseMatrix
+
+
set one value to a specific row
+
+
setRow(int, DenseVector) - Method in class librec.data.DenseMatrix
+
+
set values of one dense vector to a specific row
+
+
setSourcePath(String) - Method in class librec.data.DataConvertor
+
 
+
setTargetPath(String) - Method in class librec.data.DataConvertor
+
 
+
size() - Method in class librec.data.SparseMatrix
+
 
+
size() - Method in class librec.data.SparseVector
+
 
+
SlopeOne - Class in librec.ext
+
+
Weighted Slope One: Lemire and Maclachlan, Slope One Predictors for + Online Rating-Based Collaborative Filtering, SDM 2005.
+
+
SlopeOne(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ext.SlopeOne
+
 
+
SocialMF - Class in librec.rating
+
+
Jamali and Ester, A matrix factorization technique with trust + propagation for recommendation in social networks, RecSys 2010.
+
+
SocialMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.SocialMF
+
 
+
SocialRecommender - Class in librec.intf
+
+
Recommenders in which social information is used
+
+
SocialRecommender(SparseMatrix, SparseMatrix, int) - Constructor for class librec.intf.SocialRecommender
+
 
+
SoRec - Class in librec.rating
+
+
Hao Ma, Haixuan Yang, Michael R.
+
+
SoRec(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.SoRec
+
 
+
SoReg - Class in librec.rating
+
+
Hao Ma, Dengyong Zhou, Chao Liu, Michael R.
+
+
SoReg(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.SoReg
+
 
+
SparseMatrix - Class in librec.data
+
+
Data Structure: Sparse Matrix whose implementation is modified from M4J + library + + + Compressed + Row Storage (CRS) + Compressed + Col Storage (CCS) +
+
+
SparseMatrix(int, int, Table<Integer, Integer, Double>, Multimap<Integer, Integer>) - Constructor for class librec.data.SparseMatrix
+
+
Construct a sparse matrix with both CRS and CCS structures
+
+
SparseMatrix(int, int, Table<Integer, Integer, Double>) - Constructor for class librec.data.SparseMatrix
+
+
Construct a sparse matrix with only CRS structures
+
+
SparseMatrix(int, int, Table<Integer, Integer, Double>, boolean) - Constructor for class librec.data.SparseMatrix
+
+
Deprecated. +
I don't recommend to use this method as it (takes time and) + is better to constructe the column structure at the time when + you construct the row structure (of data table). This method + is put here (as an example) to show how to construct column + structure according to the data table.
+
+
+
SparseMatrix(SparseMatrix) - Constructor for class librec.data.SparseMatrix
+
 
+
SparseMatrix(SparseMatrix, boolean) - Constructor for class librec.data.SparseMatrix
+
+
Construct a sparse matrix from another sparse matrix
+
+
SparseVector - Class in librec.data
+
+
Data Structure: Sparse Vector whose implementation is modified from M4J + library
+
+
SparseVector(int) - Constructor for class librec.data.SparseVector
+
+
Construct a sparse vector with its maximum capacity
+
+
SparseVector(int, double[]) - Constructor for class librec.data.SparseVector
+
+
Construct a sparse vector with its maximum capacity, filled with given + data array
+
+
SparseVector(SparseVector) - Constructor for class librec.data.SparseVector
+
+
Construct a sparse vecto by deeply copying another vector
+
+
sum() - Method in class librec.data.SparseMatrix
+
 
+
sum() - Method in class librec.data.SparseVector
+
 
+
SVDPlusPlus - Class in librec.rating
+
+
Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted + Collaborative Filtering Model., KDD 2008.
+
+
SVDPlusPlus(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.SVDPlusPlus
+
 
+
SymmMatrix - Class in librec.data
+
+
Data Structure, Lower Symmetric Matrix
+
+
SymmMatrix(int) - Constructor for class librec.data.SymmMatrix
+
+
Construct a symmetric matrix
+
+
SymmMatrix(SymmMatrix) - Constructor for class librec.data.SymmMatrix
+
+
Construct a symmetric matrix by deeply copying data from a given matrix
+
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-16.html b/librec/doc/librec-v1.1/index-files/index-16.html new file mode 100644 index 000000000..9a76e573d --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-16.html @@ -0,0 +1,171 @@ + + + + + +T-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

T

+
+
toMap() - Method in class librec.data.SparseVector
+
 
+
toString() - Method in class librec.data.DenseMatrix
+
 
+
toString() - Method in class librec.data.SparseMatrix
+
 
+
toString() - Method in class librec.data.SparseVector
+
 
+
toString() - Method in class librec.data.SymmMatrix
+
 
+
toString() - Method in class librec.ext.Hybrid
+
 
+
toString() - Method in class librec.ext.NMF
+
 
+
toString() - Method in class librec.ext.PD
+
 
+
toString() - Method in class librec.ext.PRankD
+
 
+
toString() - Method in class librec.intf.IterativeRecommender
+
 
+
toString() - Method in class librec.intf.Recommender
+
+
useful to print out specific recommender's settings
+
+
toString() - Method in class librec.intf.SocialRecommender
+
 
+
toString() - Method in class librec.ranking.BPRMF
+
 
+
toString() - Method in class librec.ranking.RankALS
+
 
+
toString() - Method in class librec.ranking.RankSGD
+
 
+
toString() - Method in class librec.ranking.WRMF
+
 
+
toString() - Method in class librec.rating.BPMF
+
 
+
toString() - Method in class librec.rating.ItemKNN
+
 
+
toString() - Method in class librec.rating.RSTE
+
 
+
toString() - Method in class librec.rating.UserKNN
+
 
+
transpose() - Method in class librec.data.DenseMatrix
+
 
+
transpose() - Method in class librec.data.SparseMatrix
+
 
+
TrustMF - Class in librec.rating
+
+
Yang et al., Social Collaborative Filtering by Trust, IJCAI + 2013.
+
+
TrustMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.TrustMF
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-17.html b/librec/doc/librec-v1.1/index-files/index-17.html new file mode 100644 index 000000000..5682a5953 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-17.html @@ -0,0 +1,130 @@ + + + + + +U-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

U

+
+
UserAverage - Class in librec.baseline
+
+
Baseline: predict by the average of target user's ratings
+
+
UserAverage(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.UserAverage
+
 
+
UserKNN - Class in librec.rating
+
+
User-based Nearest Neighbors
+
+
UserKNN(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.UserKNN
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-18.html b/librec/doc/librec-v1.1/index-files/index-18.html new file mode 100644 index 000000000..02e5ded70 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-18.html @@ -0,0 +1,131 @@ + + + + + +V-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

V

+
+
valueOf(String) - Static method in enum librec.intf.Recommender.Measure
+
+
Returns the enum constant of this type with the specified name.
+
+
values() - Static method in enum librec.intf.Recommender.Measure
+
+
Returns an array containing the constants of this enum type, in +the order they are declared.
+
+
VectorEntry - Interface in librec.data
+
+
An entry of a vector.
+
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-19.html b/librec/doc/librec-v1.1/index-files/index-19.html new file mode 100644 index 000000000..a1977f482 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-19.html @@ -0,0 +1,137 @@ + + + + + +W-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

W

+
+
writeArff(String, String) - Method in class librec.data.DataDAO
+
+
Write rate matrix to a data file with format ".arff" which can be used by + the PREA toolkit
+
+
writeData(String, String) - Method in class librec.data.DataDAO
+
+
write the rate data to another data file given by the path toPath
+
+
writeData(String) - Method in class librec.data.DataDAO
+
+
Default sep=" " is adopted
+
+
WRMF - Class in librec.ranking
+
+
WRMF: Weighted Regularized Matrix Factorization.
+
+
WRMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ranking.WRMF
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-2.html b/librec/doc/librec-v1.1/index-files/index-2.html new file mode 100644 index 000000000..6f770d517 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-2.html @@ -0,0 +1,138 @@ + + + + + +B-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

B

+
+
BiasedMF - Class in librec.rating
+
+
Biased Matrix Factorization Models.
+
+
BiasedMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.BiasedMF
+
 
+
BPMF - Class in librec.rating
+
+
Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization + using Markov Chain Monte Carlo, ICML 2008.
+
+
BPMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.BPMF
+
 
+
BPRMF - Class in librec.ranking
+
+
Rendle et al., BPR: Bayesian Personalized Ranking from Implicit + Feedback, UAI 2009.
+
+
BPRMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ranking.BPRMF
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-3.html b/librec/doc/librec-v1.1/index-files/index-3.html new file mode 100644 index 000000000..cf29ea102 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-3.html @@ -0,0 +1,201 @@ + + + + + +C-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

C

+
+
cf - Static variable in class librec.intf.Recommender
+
+
Static parameters for all recommenders
+
+
cholesky() - Method in class librec.data.DenseMatrix
+
 
+
CLiMF - Class in librec.ranking
+
+
Shi et al., Climf: learning to maximize reciprocal rank with + collaborative less-is-more filtering., RecSys 2012.
+
+
CLiMF(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ranking.CLiMF
+
 
+
clone() - Method in class librec.data.DenseMatrix
+
+
Make a deep copy of current matrix
+
+
clone() - Method in class librec.data.DenseVector
+
+
Make a deep copy of current vector
+
+
clone() - Method in class librec.data.DiagMatrix
+
 
+
clone() - Method in class librec.data.SparseMatrix
+
+
Make a deep clone of current matrix
+
+
clone() - Method in class librec.data.SymmMatrix
+
+
Make a deep copy of current matrix
+
+
colMult(DenseMatrix, int, DenseMatrix, int) - Static method in class librec.data.DenseMatrix
+
+
column x column of two matrix
+
+
column(int) - Method in class librec.data.DenseMatrix
+
 
+
column() - Method in interface librec.data.MatrixEntry
+
+
Returns the current column index
+
+
column(int) - Method in class librec.data.SparseMatrix
+
+
get a col sparse vector of a matrix
+
+
columnMean(int) - Method in class librec.data.DenseMatrix
+
+
Compute mean of a column of the current matrix
+
+
columns() - Method in class librec.data.SparseMatrix
+
 
+
columnSize(int) - Method in class librec.data.SparseMatrix
+
+
query the size of a specific col
+
+
columnZeros(int) - Method in class librec.data.SparseMatrix
+
+
get a list of entries (for a specific column) with values 0
+
+
ConstantGuess - Class in librec.baseline
+
+
Baseline: predict by a constant rating
+
+
ConstantGuess(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.ConstantGuess
+
 
+
contains(int) - Method in class librec.data.SparseVector
+
+
Check if a vector contains a specific index
+
+
cov() - Method in class librec.data.DenseMatrix
+
 
+
cvtFirstLines(String, String) - Method in class librec.data.DataConvertor
+
+
+ Source File Format:
+ First Line: UserID Sep #Ratings
+ Other Lines: ItemID Sep2 Rating
+
+
cvtSeparator(String, String) - Method in class librec.data.DataConvertor
+
+
Convert a data file separated by sep to a data file separated by + toSep
+
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-4.html b/librec/doc/librec-v1.1/index-files/index-4.html new file mode 100644 index 000000000..99b341772 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-4.html @@ -0,0 +1,203 @@ + + + + + +D-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

D

+
+
DataConvertor - Class in librec.data
+
+
A data convertor class to convert a data file from one source format to a + target format (i.e., our supporting format) of UserId ItemId Rating, + separted by " \t,"
+
+
DataConvertor(String, String) - Constructor for class librec.data.DataConvertor
+
 
+
DataDAO - Class in librec.data
+
+
A data access object (DAO) to a data file
+
+
DataDAO(String, BiMap<String, Integer>, BiMap<String, Integer>) - Constructor for class librec.data.DataDAO
+
+
Constructor for a data DAO object
+
+
DataDAO(String) - Constructor for class librec.data.DataDAO
+
+
Contructor for data DAO object
+
+
DataDAO(String, BiMap<String, Integer>) - Constructor for class librec.data.DataDAO
+
+
Contructor for data DAO object
+
+
DataSplitter - Class in librec.data
+
+
Class to split/sample rating matrix
+
+
DataSplitter(SparseMatrix, int) - Constructor for class librec.data.DataSplitter
+
+
Construct a data splitter to split a given matrix into kfolds
+
+
DataSplitter(SparseMatrix) - Constructor for class librec.data.DataSplitter
+
+
Construct a data splitter with data source of a given rate matrix
+
+
DenseMatrix - Class in librec.data
+
+
Data Structure: dense matrix
+ + A big reason that we do not adopt original DenseMatrix from M4J libraray is + because the latter using one-dimensional array to store data, which will + often cause OutOfMemory exception due to the limit of maximum length of a + one-dimensional Java array.
+
+
DenseMatrix(int, int) - Constructor for class librec.data.DenseMatrix
+
+
Construct a dense matrix with specified dimensions
+
+
DenseMatrix(double[][]) - Constructor for class librec.data.DenseMatrix
+
+
Construct a dense matrix by copying data from a given 2D array
+
+
DenseMatrix(DenseMatrix) - Constructor for class librec.data.DenseMatrix
+
+
Construct a dense matrix by copying data from a given matrix
+
+
DenseVector - Class in librec.data
+
+
Data Structure: dense vector
+
+
DenseVector(int) - Constructor for class librec.data.DenseVector
+
+
Construct a dense vector with a specific size
+
+
DenseVector(double[]) - Constructor for class librec.data.DenseVector
+
+
Construct a dense vector by deeply copying data from a given array
+
+
DenseVector(double[], boolean) - Constructor for class librec.data.DenseVector
+
+
Construct a dense vector by copying data from a given array
+
+
DenseVector(DenseVector) - Constructor for class librec.data.DenseVector
+
+
Construct a dense vector by deeply copying data from a given vector
+
+
DiagMatrix - Class in librec.data
+
+
Data Structure: Diagonal Matrix
+
+
DiagMatrix(int, int, Table<Integer, Integer, Double>) - Constructor for class librec.data.DiagMatrix
+
 
+
DiagMatrix(DiagMatrix) - Constructor for class librec.data.DiagMatrix
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-5.html b/librec/doc/librec-v1.1/index-files/index-5.html new file mode 100644 index 000000000..a9884886f --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-5.html @@ -0,0 +1,128 @@ + + + + + +E-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

E

+
+
execute() - Method in class librec.intf.Recommender
+
+
execution method of a recommender
+
+
eye(int) - Static method in class librec.data.DenseMatrix
+
+
Construct an identity matrix
+
+
eye(int) - Static method in class librec.data.DiagMatrix
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-6.html b/librec/doc/librec-v1.1/index-files/index-6.html new file mode 100644 index 000000000..363a38398 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-6.html @@ -0,0 +1,220 @@ + + + + + +G-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

G

+
+
get(int, int) - Method in class librec.data.DenseMatrix
+
+
Get the value at entry [row, column]
+
+
get(int) - Method in class librec.data.DenseVector
+
+
Get a value at entry [index]
+
+
get() - Method in interface librec.data.MatrixEntry
+
+
Returns the value at the current index
+
+
get(int, int) - Method in class librec.data.SparseMatrix
+
+
Retrieve value at entry [row, column]
+
+
get(int) - Method in class librec.data.SparseVector
+
+
Retrieve a value at entry [idx]
+
+
get(int, int) - Method in class librec.data.SymmMatrix
+
+
Get a value at entry (row, col)
+
+
get() - Method in interface librec.data.VectorEntry
+
+
Returns the value at the current index
+
+
getColumnIndices() - Method in class librec.data.SparseMatrix
+
 
+
getCount() - Method in class librec.data.SparseVector
+
+
Number of entries in the sparse structure
+
+
getData() - Method in class librec.data.DenseVector
+
 
+
getData() - Method in class librec.data.SparseMatrix
+
 
+
getData() - Method in class librec.data.SparseVector
+
+
Returns the internal data
+
+
getDataPath() - Method in class librec.data.DataDAO
+
 
+
getDataView(String) - Method in class librec.data.DataSplitter
+
 
+
getEvalInfo(Map<Recommender.Measure, Double>) - Static method in class librec.intf.Recommender
+
 
+
getGiven(int) - Method in class librec.data.DataSplitter
+
+
Split ratings into two parts: the training set consisting of user-item + ratings where numGiven ratings are preserved for each user, and + the rest are used as the testing data
+
+
getGiven(double) - Method in class librec.data.DataSplitter
+
+
Split ratings into two parts: the training set consisting of user-item + ratings where numGiven ratings are preserved for each user, and + the rest are used as the testing data
+
+
getIndex() - Method in class librec.data.SparseVector
+
+
Returns the indices
+
+
getItemId(String) - Method in class librec.data.DataDAO
+
 
+
getItemId(int) - Method in class librec.data.DataDAO
+
 
+
getItemIds() - Method in class librec.data.DataDAO
+
 
+
getKthFold(int) - Method in class librec.data.DataSplitter
+
+
Return the k-th fold as test set (testMatrix), making all the others as + train set in rateMatrix.
+
+
getRateMatrix() - Method in class librec.data.DataDAO
+
 
+
getRatio(double) - Method in class librec.data.DataSplitter
+
+
Split ratings into two parts: (1-ratio) training, (ratio) testing data
+
+
getRowPointers() - Method in class librec.data.SparseMatrix
+
 
+
getSample(int, int) - Method in class librec.data.DataSplitter
+
+
generate a random sample of rate matrix with specified number of users + and items
+
+
getScales() - Method in class librec.data.DataDAO
+
 
+
getUserId(String) - Method in class librec.data.DataDAO
+
 
+
getUserId(int) - Method in class librec.data.DataDAO
+
 
+
getUserIds() - Method in class librec.data.DataDAO
+
 
+
GlobalAverage - Class in librec.baseline
+
+
Baseline: predict by average rating of all users
+
+
GlobalAverage(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.GlobalAverage
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-7.html b/librec/doc/librec-v1.1/index-files/index-7.html new file mode 100644 index 000000000..646c9c888 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-7.html @@ -0,0 +1,126 @@ + + + + + +H-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

H

+
+
Hybrid - Class in librec.ext
+
+
Zhou et al., Solving the apparent diversity-accuracy dilemma of + recommender systems, Proceedings of the National Academy of + Sciences, 2010.
+
+
Hybrid(SparseMatrix, SparseMatrix, int) - Constructor for class librec.ext.Hybrid
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-8.html b/librec/doc/librec-v1.1/index-files/index-8.html new file mode 100644 index 000000000..ea3b2c727 --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-8.html @@ -0,0 +1,197 @@ + + + + + +I-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

I

+
+
index() - Method in interface librec.data.VectorEntry
+
+
Returns the current index
+
+
init(double, double) - Method in class librec.data.DenseMatrix
+
+
Initialize a dense matrix with small Guassian values
+ + NOTE: small initial values make it easier to train a + model; otherwise a very small learning rate may be needed (especially + when the number of factors is large) which can cause bad performance.
+
+
init(double) - Method in class librec.data.DenseMatrix
+
+
initialize a dense matrix with small random values in (0, range)
+
+
init() - Method in class librec.data.DenseMatrix
+
+
initialize a dense matrix with small random values in (0, 1)
+
+
init(double, double) - Method in class librec.data.DenseVector
+
+
Initialize a dense vector with Gaussian values
+
+
init() - Method in class librec.data.DenseVector
+
+
Initialize a dense vector with Uniform values in (0, 1)
+
+
inner(DenseVector) - Method in class librec.data.DenseVector
+
+
Do vector operation: a^t * b
+
+
inner(SparseVector) - Method in class librec.data.DenseVector
+
+
Do vector operation: a^t * b
+
+
inner(SparseVector) - Method in class librec.data.SparseVector
+
 
+
inner(DenseVector) - Method in class librec.data.SparseVector
+
 
+
inv() - Method in class librec.data.DenseMatrix
+
+
NOTE: this implementation (adopted from PREA package) is slightly faster + than inverse, especailly when numRows is large.
+
+
inverse() - Method in class librec.data.DenseMatrix
+
+
Deprecated. +
use inv instead which is slightly faster
+
+
+
isItemAsUser() - Method in class librec.data.DataDAO
+
 
+
isMultRun - Static variable in class librec.main.LibRec
+
 
+
isRankingPred - Static variable in class librec.intf.Recommender
+
 
+
ItemAverage - Class in librec.baseline
+
+
Baseline: predict by the average of target item's ratings
+
+
ItemAverage(SparseMatrix, SparseMatrix, int) - Constructor for class librec.baseline.ItemAverage
+
 
+
ItemKNN - Class in librec.rating
+
+
Item-based Nearest Neighbors
+
+
ItemKNN(SparseMatrix, SparseMatrix, int) - Constructor for class librec.rating.ItemKNN
+
 
+
IterativeRecommender - Class in librec.intf
+
+
Recommenders using iterative learning techniques
+
+
IterativeRecommender(SparseMatrix, SparseMatrix, int) - Constructor for class librec.intf.IterativeRecommender
+
 
+
iterator() - Method in class librec.data.SparseMatrix
+
 
+
iterator() - Method in class librec.data.SparseVector
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index-files/index-9.html b/librec/doc/librec-v1.1/index-files/index-9.html new file mode 100644 index 000000000..258b97fec --- /dev/null +++ b/librec/doc/librec-v1.1/index-files/index-9.html @@ -0,0 +1,138 @@ + + + + + +L-Index + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
A B C D E G H I L M N O P R S T U V W  + + +

L

+
+
LibRec - Class in librec.main
+
+
Main Class of the LibRec Library
+
+
LibRec() - Constructor for class librec.main.LibRec
+
 
+
librec.baseline - package librec.baseline
+
 
+
librec.data - package librec.data
+
 
+
librec.ext - package librec.ext
+
 
+
librec.intf - package librec.intf
+
 
+
librec.main - package librec.main
+
 
+
librec.ranking - package librec.ranking
+
 
+
librec.rating - package librec.rating
+
 
+
+A B C D E G H I L M N O P R S T U V W 
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/index.html b/librec/doc/librec-v1.1/index.html new file mode 100644 index 000000000..6dcf177db --- /dev/null +++ b/librec/doc/librec-v1.1/index.html @@ -0,0 +1,33 @@ + + + + + +Generated Documentation (Untitled) + + + + + + + + + +<noscript> +<div>JavaScript is disabled on your browser.</div> +</noscript> +<h2>Frame Alert</h2> +<p>This document is designed to be viewed using the frames feature. If you see this message, you are using a non-frame-capable web client. Link to <a href="overview-summary.html">Non-frame version</a>.</p> + + + diff --git a/librec/doc/librec-v1.1/librec/baseline/ConstantGuess.html b/librec/doc/librec-v1.1/librec/baseline/ConstantGuess.html new file mode 100644 index 000000000..d5113888a --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/ConstantGuess.html @@ -0,0 +1,281 @@ + + + + + +ConstantGuess + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.baseline
+

Class ConstantGuess

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class ConstantGuess
+extends Recommender
    +
    Baseline: predict by a constant rating
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/GlobalAverage.html b/librec/doc/librec-v1.1/librec/baseline/GlobalAverage.html new file mode 100644 index 000000000..e44b2a877 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/GlobalAverage.html @@ -0,0 +1,281 @@ + + + + + +GlobalAverage + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.baseline
+

Class GlobalAverage

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class GlobalAverage
+extends Recommender
    +
    Baseline: predict by average rating of all users
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/ItemAverage.html b/librec/doc/librec-v1.1/librec/baseline/ItemAverage.html new file mode 100644 index 000000000..d2e66226e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/ItemAverage.html @@ -0,0 +1,281 @@ + + + + + +ItemAverage + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.baseline
+

Class ItemAverage

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class ItemAverage
+extends Recommender
    +
    Baseline: predict by the average of target item's ratings
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/MostPopular.html b/librec/doc/librec-v1.1/librec/baseline/MostPopular.html new file mode 100644 index 000000000..e1aabd10e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/MostPopular.html @@ -0,0 +1,281 @@ + + + + + +MostPopular + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.baseline
+

Class MostPopular

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class MostPopular
+extends Recommender
    +
    Baseline: items are weighted by the number of ratings they received.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/RandomGuess.html b/librec/doc/librec-v1.1/librec/baseline/RandomGuess.html new file mode 100644 index 000000000..42e65be41 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/RandomGuess.html @@ -0,0 +1,281 @@ + + + + + +RandomGuess + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.baseline
+

Class RandomGuess

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class RandomGuess
+extends Recommender
    +
    Baseline: predict by a random value in (minRate, maxRate)
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/UserAverage.html b/librec/doc/librec-v1.1/librec/baseline/UserAverage.html new file mode 100644 index 000000000..80c76d446 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/UserAverage.html @@ -0,0 +1,281 @@ + + + + + +UserAverage + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.baseline
+

Class UserAverage

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class UserAverage
+extends Recommender
    +
    Baseline: predict by the average of target user's ratings
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/class-use/ConstantGuess.html b/librec/doc/librec-v1.1/librec/baseline/class-use/ConstantGuess.html new file mode 100644 index 000000000..c2b1d9bfe --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/class-use/ConstantGuess.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.baseline.ConstantGuess + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.baseline.ConstantGuess

+
+
No usage of librec.baseline.ConstantGuess
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/class-use/GlobalAverage.html b/librec/doc/librec-v1.1/librec/baseline/class-use/GlobalAverage.html new file mode 100644 index 000000000..c54d3e885 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/class-use/GlobalAverage.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.baseline.GlobalAverage + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.baseline.GlobalAverage

+
+
No usage of librec.baseline.GlobalAverage
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/class-use/ItemAverage.html b/librec/doc/librec-v1.1/librec/baseline/class-use/ItemAverage.html new file mode 100644 index 000000000..3a6dd6d18 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/class-use/ItemAverage.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.baseline.ItemAverage + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.baseline.ItemAverage

+
+
No usage of librec.baseline.ItemAverage
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/class-use/MostPopular.html b/librec/doc/librec-v1.1/librec/baseline/class-use/MostPopular.html new file mode 100644 index 000000000..6c36e06de --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/class-use/MostPopular.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.baseline.MostPopular + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.baseline.MostPopular

+
+
No usage of librec.baseline.MostPopular
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/class-use/RandomGuess.html b/librec/doc/librec-v1.1/librec/baseline/class-use/RandomGuess.html new file mode 100644 index 000000000..aef03b945 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/class-use/RandomGuess.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.baseline.RandomGuess + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.baseline.RandomGuess

+
+
No usage of librec.baseline.RandomGuess
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/class-use/UserAverage.html b/librec/doc/librec-v1.1/librec/baseline/class-use/UserAverage.html new file mode 100644 index 000000000..fccac1947 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/class-use/UserAverage.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.baseline.UserAverage + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.baseline.UserAverage

+
+
No usage of librec.baseline.UserAverage
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/package-frame.html b/librec/doc/librec-v1.1/librec/baseline/package-frame.html new file mode 100644 index 000000000..7b03e3121 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/package-frame.html @@ -0,0 +1,24 @@ + + + + + +librec.baseline + + + + +

librec.baseline

+
+

Classes

+ +
+ + diff --git a/librec/doc/librec-v1.1/librec/baseline/package-summary.html b/librec/doc/librec-v1.1/librec/baseline/package-summary.html new file mode 100644 index 000000000..39a15fcd0 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/package-summary.html @@ -0,0 +1,165 @@ + + + + + +librec.baseline + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Package librec.baseline

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/package-tree.html b/librec/doc/librec-v1.1/librec/baseline/package-tree.html new file mode 100644 index 000000000..f1899c960 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/package-tree.html @@ -0,0 +1,137 @@ + + + + + +librec.baseline Class Hierarchy + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Hierarchy For Package librec.baseline

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/baseline/package-use.html b/librec/doc/librec-v1.1/librec/baseline/package-use.html new file mode 100644 index 000000000..f53c8e631 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/baseline/package-use.html @@ -0,0 +1,115 @@ + + + + + +Uses of Package librec.baseline + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Package
librec.baseline

+
+
No usage of librec.baseline
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/DataConvertor.html b/librec/doc/librec-v1.1/librec/data/DataConvertor.html new file mode 100644 index 000000000..7fbf0c60b --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/DataConvertor.html @@ -0,0 +1,333 @@ + + + + + +DataConvertor + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class DataConvertor

+
+
+ +
+
    +
  • +
    +
    +
    public class DataConvertor
+extends java.lang.Object
    +
    A data convertor class to convert a data file from one source format to a + target format (i.e., our supporting format) of UserId ItemId Rating, + separted by " \t,"
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + +
      Constructors 
      Constructor and Description
      DataConvertor(java.lang.String sourcePath, + java.lang.String targetPath) 
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      voidcvtFirstLines(java.lang.String sep1, + java.lang.String sep2) +
      + Source File Format:
      + First Line: UserID Sep #Ratings
      + Other Lines: ItemID Sep2 Rating
      +
      voidcvtSeparator(java.lang.String sep, + java.lang.String toSep) +
      Convert a data file separated by sep to a data file separated by + toSep
      +
      voidsetSourcePath(java.lang.String sourcePath) 
      voidsetTargetPath(java.lang.String targetPath) 
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        DataConvertor

        +
        public DataConvertor(java.lang.String sourcePath,
+             java.lang.String targetPath)
+              throws java.lang.Exception
        +
        Parameters:
        sourcePath - path to the source file
        targetPath - path to the target file
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        cvtSeparator

        +
        public void cvtSeparator(java.lang.String sep,
+                java.lang.String toSep)
+                  throws java.lang.Exception
        +
        Convert a data file separated by sep to a data file separated by + toSep
        +
        Parameters:
        sep - separator of the source file
        toSep - separtor of the target file
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        cvtFirstLines

        +
        public void cvtFirstLines(java.lang.String sep1,
+                 java.lang.String sep2)
+                   throws java.lang.Exception
        +

        + Source File Format:
        + First Line: UserID Sep #Ratings
        + Other Lines: ItemID Sep2 Rating
        +

        +
        Parameters:
        sep1 - the separtor of the first line
        sep2 - the separtor of the other lines
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        setSourcePath

        +
        public void setSourcePath(java.lang.String sourcePath)
        +
        • +
      + + + +
        +
      • +

        setTargetPath

        +
        public void setTargetPath(java.lang.String targetPath)
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/DataDAO.html b/librec/doc/librec-v1.1/librec/data/DataDAO.html new file mode 100644 index 000000000..985ea65ea --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/DataDAO.html @@ -0,0 +1,648 @@ + + + + + +DataDAO + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class DataDAO

+
+
+ +
+
    +
  • +
    +
    +
    public class DataDAO
+extends java.lang.Object
    +
    A data access object (DAO) to a data file
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      DataDAO(java.lang.String path) +
      Contructor for data DAO object
      +
      DataDAO(java.lang.String path, + com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> userIds) +
      Contructor for data DAO object
      +
      DataDAO(java.lang.String path, + com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> userIds, + com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> itemIds) +
      Constructor for a data DAO object
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      java.lang.StringgetDataPath() 
      java.lang.StringgetItemId(int innerId) 
      intgetItemId(java.lang.String rawId) 
      com.google.common.collect.BiMap<java.lang.String,java.lang.Integer>getItemIds() 
      SparseMatrixgetRateMatrix() 
      java.util.List<java.lang.Double>getScales() 
      java.lang.StringgetUserId(int innerId) 
      intgetUserId(java.lang.String rawId) 
      com.google.common.collect.BiMap<java.lang.String,java.lang.Integer>getUserIds() 
      booleanisItemAsUser() 
      intnumItems() 
      intnumRates() 
      intnumUsers() 
      voidprintDistr(boolean isWriteOut) +
      print out distributions of the dataset
      + + + #users (y) -- #ratings (x) (that are issued by each user) + #items (y) -- #ratings (x) (that received by each item) +
      +
      voidprintSpecs() +
      print out specifications of the dataset
      +
      SparseMatrixreadData() +
      Default relevant columns {0: user column, 1: item column, 2: rate + column}; otherwise try readData(int[] rels)
      +
      SparseMatrixreadData(boolean isCCSUsed) 
      SparseMatrixreadData(int[] cols, + boolean isCCSUsed) +
      Read data from the data file
      +
      voidwriteArff(java.lang.String relation, + java.lang.String toPath) +
      Write rate matrix to a data file with format ".arff" which can be used by + the PREA toolkit
      +
      voidwriteData(java.lang.String toPath) +
      Default sep=" " is adopted
      +
      voidwriteData(java.lang.String toPath, + java.lang.String sep) +
      write the rate data to another data file given by the path toPath
      +
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        DataDAO

        +
        public DataDAO(java.lang.String path,
+       com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> userIds,
+       com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> itemIds)
        +
        Constructor for a data DAO object
        +
        Parameters:
        path - path to data file
        userIds - user: {raw id, inner id} map
        itemIds - item: {raw id, inner id} map
        +
        • +
      + + + +
        +
      • +

        DataDAO

        +
        public DataDAO(java.lang.String path)
        +
        Contructor for data DAO object
        +
        Parameters:
        path - path to data file
        +
        • +
      + + + +
        +
      • +

        DataDAO

        +
        public DataDAO(java.lang.String path,
+       com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> userIds)
        +
        Contructor for data DAO object
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        readData

        +
        public SparseMatrix readData()
+                      throws java.lang.Exception
        +
        Default relevant columns {0: user column, 1: item column, 2: rate + column}; otherwise try readData(int[] rels)
        +
        Returns:
        a sparse matrix storing all the relevant data
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        readData

        +
        public SparseMatrix readData(boolean isCCSUsed)
+                      throws java.lang.Exception
        +
        Parameters:
        isCCSUsed - whether to construct CCS structures while reading data
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        readData

        +
        public SparseMatrix readData(int[] cols,
+                    boolean isCCSUsed)
+                      throws java.lang.Exception
        +
        Read data from the data file
        +
        Parameters:
        cols - the indexes of the relevant columns in the data file
        isCCSUsed - whether to store the CCS structures of the rating matrix
        +
        Returns:
        a sparse matrix storing all the relevant data
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        writeData

        +
        public void writeData(java.lang.String toPath,
+             java.lang.String sep)
+               throws java.lang.Exception
        +
        write the rate data to another data file given by the path toPath
        +
        Parameters:
        toPath - the data file to write to
        sep - the sparator of the written data file
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        writeData

        +
        public void writeData(java.lang.String toPath)
+               throws java.lang.Exception
        +
        Default sep=" " is adopted
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        writeArff

        +
        public void writeArff(java.lang.String relation,
+             java.lang.String toPath)
+               throws java.lang.Exception
        +
        Write rate matrix to a data file with format ".arff" which can be used by + the PREA toolkit
        +
        Parameters:
        relation - relation name of dataset
        toPath - data file path
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        printSpecs

        +
        public void printSpecs()
+                throws java.lang.Exception
        +
        print out specifications of the dataset
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        printDistr

        +
        public void printDistr(boolean isWriteOut)
+                throws java.lang.Exception
        +
        print out distributions of the dataset
        + +
          +
        • #users (y) -- #ratings (x) (that are issued by each user)
          • +
        • #items (y) -- #ratings (x) (that received by each item)
          • +
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        numUsers

        +
        public int numUsers()
        +
        Returns:
        number of users
        +
        • +
      + + + +
        +
      • +

        numItems

        +
        public int numItems()
        +
        Returns:
        number of items
        +
        • +
      + + + +
        +
      • +

        numRates

        +
        public int numRates()
        +
        Returns:
        number of rates
        +
        • +
      + + + +
        +
      • +

        getUserId

        +
        public int getUserId(java.lang.String rawId)
        +
        Parameters:
        rawId - raw user id as String
        +
        Returns:
        inner user id as int
        +
        • +
      + + + +
        +
      • +

        getUserId

        +
        public java.lang.String getUserId(int innerId)
        +
        Parameters:
        innerId - inner user id as int
        +
        Returns:
        raw user id as String
        +
        • +
      + + + +
        +
      • +

        getItemId

        +
        public int getItemId(java.lang.String rawId)
        +
        Parameters:
        rawId - raw item id as String
        +
        Returns:
        inner item id as int
        +
        • +
      + + + +
        +
      • +

        getItemId

        +
        public java.lang.String getItemId(int innerId)
        +
        Parameters:
        innerId - inner user id as int
        +
        Returns:
        raw item id as String
        +
        • +
      + + + +
        +
      • +

        getDataPath

        +
        public java.lang.String getDataPath()
        +
        Returns:
        the path to the dataset file
        +
        • +
      + + + +
        +
      • +

        getRateMatrix

        +
        public SparseMatrix getRateMatrix()
        +
        Returns:
        the rate matrix
        +
        • +
      + + + +
        +
      • +

        isItemAsUser

        +
        public boolean isItemAsUser()
        +
        Returns:
        whether "items" are users, useful for social reltions
        +
        • +
      + + + +
        +
      • +

        getScales

        +
        public java.util.List<java.lang.Double> getScales()
        +
        Returns:
        rating scales
        +
        • +
      + + + +
        +
      • +

        getUserIds

        +
        public com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> getUserIds()
        +
        Returns:
        user {rawid, inner id} mappings
        +
        • +
      + + + +
        +
      • +

        getItemIds

        +
        public com.google.common.collect.BiMap<java.lang.String,java.lang.Integer> getItemIds()
        +
        Returns:
        item {rawid, inner id} mappings
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/DataSplitter.html b/librec/doc/librec-v1.1/librec/data/DataSplitter.html new file mode 100644 index 000000000..7cb630b6a --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/DataSplitter.html @@ -0,0 +1,390 @@ + + + + + +DataSplitter + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class DataSplitter

+
+
+ +
+
    +
  • +
    +
    +
    public class DataSplitter
+extends java.lang.Object
    +
    Class to split/sample rating matrix
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      DataSplitter(SparseMatrix rateMatrix) +
      Construct a data splitter with data source of a given rate matrix
      +
      DataSplitter(SparseMatrix rateMatrix, + int kfold) +
      Construct a data splitter to split a given matrix into kfolds
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      SparseMatrix[]getDataView(java.lang.String view) 
      SparseMatrix[]getGiven(double ratio) +
      Split ratings into two parts: the training set consisting of user-item + ratings where numGiven ratings are preserved for each user, and + the rest are used as the testing data
      +
      SparseMatrix[]getGiven(int numGiven) +
      Split ratings into two parts: the training set consisting of user-item + ratings where numGiven ratings are preserved for each user, and + the rest are used as the testing data
      +
      SparseMatrix[]getKthFold(int k) +
      Return the k-th fold as test set (testMatrix), making all the others as + train set in rateMatrix.
      +
      SparseMatrix[]getRatio(double ratio) +
      Split ratings into two parts: (1-ratio) training, (ratio) testing data
      +
      voidgetSample(int numUsers, + int numItems) +
      generate a random sample of rate matrix with specified number of users + and items
      +
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        DataSplitter

        +
        public DataSplitter(SparseMatrix rateMatrix,
+            int kfold)
        +
        Construct a data splitter to split a given matrix into kfolds
        +
        Parameters:
        rateMatrix - data matrix
        kfold - number of folds to split
        +
        • +
      + + + +
        +
      • +

        DataSplitter

        +
        public DataSplitter(SparseMatrix rateMatrix)
        +
        Construct a data splitter with data source of a given rate matrix
        +
        Parameters:
        rateMatrix - data source
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        getRatio

        +
        public SparseMatrix[] getRatio(double ratio)
        +
        Split ratings into two parts: (1-ratio) training, (ratio) testing data
        +
        Parameters:
        ratio - the ratio of training data over all the ratings.
        +
        • +
      + + + +
        +
      • +

        getGiven

        +
        public SparseMatrix[] getGiven(int numGiven)
+                        throws java.lang.Exception
        +
        Split ratings into two parts: the training set consisting of user-item + ratings where numGiven ratings are preserved for each user, and + the rest are used as the testing data
        +
        Parameters:
        numGiven - the number of ratings given to each user
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        getGiven

        +
        public SparseMatrix[] getGiven(double ratio)
+                        throws java.lang.Exception
        +
        Split ratings into two parts: the training set consisting of user-item + ratings where numGiven ratings are preserved for each user, and + the rest are used as the testing data
        +
        Parameters:
        numGiven - the number of ratings given to each user
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        getSample

        +
        public void getSample(int numUsers,
+             int numItems)
+               throws java.lang.Exception
        +
        generate a random sample of rate matrix with specified number of users + and items
        +
        Parameters:
        numUsers - number of users, -1 to use all users;
        numItems - number of items, -1 to user all items;
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        getDataView

        +
        public SparseMatrix[] getDataView(java.lang.String view)
        +
        • +
      + + + +
        +
      • +

        getKthFold

        +
        public SparseMatrix[] getKthFold(int k)
        +
        Return the k-th fold as test set (testMatrix), making all the others as + train set in rateMatrix.
        +
        Parameters:
        k - The index for desired fold.
        +
        Returns:
        Rating matrices {k-th train data, k-th test data}
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/DenseMatrix.html b/librec/doc/librec-v1.1/librec/data/DenseMatrix.html new file mode 100644 index 000000000..cd8f172b8 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/DenseMatrix.html @@ -0,0 +1,964 @@ + + + + + +DenseMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class DenseMatrix

+
+
+ +
+
    +
  • +
    +
    +
    public class DenseMatrix
+extends java.lang.Object
    +
    Data Structure: dense matrix
    + + A big reason that we do not adopt original DenseMatrix from M4J libraray is + because the latter using one-dimensional array to store data, which will + often cause OutOfMemory exception due to the limit of maximum length of a + one-dimensional Java array.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      DenseMatrix(DenseMatrix mat) +
      Construct a dense matrix by copying data from a given matrix
      +
      DenseMatrix(double[][] array) +
      Construct a dense matrix by copying data from a given 2D array
      +
      DenseMatrix(int numRows, + int numColumns) +
      Construct a dense matrix with specified dimensions
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      DenseMatrixadd(DenseMatrix mat) +
      Do A + B matrix operation
      +
      DenseMatrixadd(double val) +
      Do A + c matrix operation, where c is a constant.
      +
      voidadd(int row, + int column, + double val) +
      Add a value to entry [row, column]
      +
      DenseMatrixadd(SparseMatrix mat) +
      Do A + B matrix operation
      +
      DenseMatrixcholesky() 
      DenseMatrixclone() +
      Make a deep copy of current matrix
      +
      static doublecolMult(DenseMatrix m, + int mcol, + DenseMatrix n, + int ncol) +
      column x column of two matrix
      +
      DenseVectorcolumn(int column) 
      doublecolumnMean(int column) +
      Compute mean of a column of the current matrix
      +
      DenseMatrixcov() 
      static DenseMatrixeye(int dim) +
      Construct an identity matrix
      +
      doubleget(int row, + int column) +
      Get the value at entry [row, column]
      +
      voidinit() +
      initialize a dense matrix with small random values in (0, 1)
      +
      voidinit(double range) +
      initialize a dense matrix with small random values in (0, range)
      +
      voidinit(double mean, + double sigma) +
      Initialize a dense matrix with small Guassian values
      + + NOTE: small initial values make it easier to train a + model; otherwise a very small learning rate may be needed (especially + when the number of factors is large) which can cause bad performance.
      +
      DenseMatrixinv() +
      NOTE: this implementation (adopted from PREA package) is slightly faster + than inverse, especailly when numRows is large.
      +
      DenseMatrixinverse() +
      Deprecated.  +
      use inv instead which is slightly faster
      +
      +
      DenseMatrixminus(DenseMatrix mat) +
      Do A + B matrix operation
      +
      DenseMatrixminus(double val) +
      Do A + c matrix operation, where c is a constant.
      +
      DenseMatrixminus(SparseMatrix mat) +
      Do A + B matrix operation
      +
      DenseMatrixmult(DenseMatrix mat) +
      Matrix multiplication with a dense matrix
      +
      DenseVectormult(DenseVector vec) +
      Do matrix x vector between current matrix and a given vector
      +
      DenseMatrixmult(SparseMatrix mat) +
      Matrix multiplication with a sparse matrix
      +
      static DenseMatrixmult(SparseMatrix sm, + DenseMatrix dm) +
      Matrix multiplication of a sparse matrix by a dense matrix
      +
      DenseVectormult(SparseVector vec) 
      doublenorm() 
      intnumColumns() 
      intnumRows() 
      static doubleproduct(DenseMatrix m, + int mrow, + DenseMatrix n, + int ncol) +
      dot product of row x col between two matrices
      +
      DenseVectorrow(int rowId) 
      DenseVectorrow(int rowId, + boolean deep) 
      static doublerowMult(DenseMatrix m, + int mrow, + DenseMatrix n, + int nrow) +
      row x row of two matrix
      +
      DenseMatrixscale(double val) 
      voidset(int row, + int column, + double val) +
      Set a value to entry [row, column]
      +
      voidsetRow(int row, + DenseVector vals) +
      set values of one dense vector to a specific row
      +
      voidsetRow(int row, + double val) +
      set one value to a specific row
      +
      java.lang.StringtoString() 
      DenseMatrixtranspose() 
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        DenseMatrix

        +
        public DenseMatrix(int numRows,
+           int numColumns)
        +
        Construct a dense matrix with specified dimensions
        +
        Parameters:
        numRows - number of rows
        numColumns - number of columns
        +
        • +
      + + + +
        +
      • +

        DenseMatrix

        +
        public DenseMatrix(double[][] array)
        +
        Construct a dense matrix by copying data from a given 2D array
        +
        Parameters:
        array - data array
        +
        • +
      + + + +
        +
      • +

        DenseMatrix

        +
        public DenseMatrix(DenseMatrix mat)
        +
        Construct a dense matrix by copying data from a given matrix
        +
        Parameters:
        mat - input matrix
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        clone

        +
        public DenseMatrix clone()
        +
        Make a deep copy of current matrix
        +
        +
        Overrides:
        +
        clone in class java.lang.Object
        +
        +
        • +
      + + + +
        +
      • +

        eye

        +
        public static DenseMatrix eye(int dim)
        +
        Construct an identity matrix
        +
        Parameters:
        dim - dimension
        +
        Returns:
        an identity matrix
        +
        • +
      + + + +
        +
      • +

        init

        +
        public void init(double mean,
+        double sigma)
        +
        Initialize a dense matrix with small Guassian values
        + + NOTE: small initial values make it easier to train a + model; otherwise a very small learning rate may be needed (especially + when the number of factors is large) which can cause bad performance.
        +
        • +
      + + + +
        +
      • +

        init

        +
        public void init(double range)
        +
        initialize a dense matrix with small random values in (0, range)
        +
        • +
      + + + +
        +
      • +

        init

        +
        public void init()
        +
        initialize a dense matrix with small random values in (0, 1)
        +
        • +
      + + + +
        +
      • +

        numRows

        +
        public int numRows()
        +
        Returns:
        number of rows
        +
        • +
      + + + +
        +
      • +

        numColumns

        +
        public int numColumns()
        +
        Returns:
        number of columns
        +
        • +
      + + + +
        +
      • +

        row

        +
        public DenseVector row(int rowId)
        +
        Parameters:
        rowId - row id
        +
        Returns:
        a copy of row data as a dense vector
        +
        • +
      + + + +
        +
      • +

        row

        +
        public DenseVector row(int rowId,
+              boolean deep)
        +
        Parameters:
        rowId - row id
        deep - whether to copy data or only shallow copy for executing + speedup purpose
        +
        Returns:
        a vector of a specific row
        +
        • +
      + + + +
        +
      • +

        column

        +
        public DenseVector column(int column)
        +
        Parameters:
        column - column id
        +
        Returns:
        a copy of column data as a dense vector
        +
        • +
      + + + +
        +
      • +

        columnMean

        +
        public double columnMean(int column)
        +
        Compute mean of a column of the current matrix
        +
        Parameters:
        column - column id
        +
        Returns:
        mean of a column of the current matrix
        +
        • +
      + + + +
        +
      • +

        norm

        +
        public double norm()
        +
        Returns:
        the matrix norm-2
        +
        • +
      + + + +
        +
      • +

        rowMult

        +
        public static double rowMult(DenseMatrix m,
+             int mrow,
+             DenseMatrix n,
+             int nrow)
        +
        row x row of two matrix
        +
        Parameters:
        m - the first matrix
        mrow - row of the first matrix
        n - the second matrix
        nrow - row of the second matrix
        +
        Returns:
        inner product of two row vectors
        +
        • +
      + + + +
        +
      • +

        colMult

        +
        public static double colMult(DenseMatrix m,
+             int mcol,
+             DenseMatrix n,
+             int ncol)
        +
        column x column of two matrix
        +
        Parameters:
        m - the first matrix
        mcol - column of the first matrix
        n - the second matrix
        ncol - column of the second matrix
        +
        Returns:
        inner product of two column vectors
        +
        • +
      + + + +
        +
      • +

        product

        +
        public static double product(DenseMatrix m,
+             int mrow,
+             DenseMatrix n,
+             int ncol)
        +
        dot product of row x col between two matrices
        +
        Parameters:
        m - the first matrix
        mrow - row id of the first matrix
        n - the second matrix
        ncol - column id of the second matrix
        +
        Returns:
        dot product of row of the first matrix and column of the second + matrix
        +
        • +
      + + + +
        +
      • +

        mult

        +
        public DenseMatrix mult(DenseMatrix mat)
        +
        Matrix multiplication with a dense matrix
        +
        Parameters:
        mat - a dense matrix
        +
        Returns:
        a dense matrix with results of matrix multiplication
        +
        • +
      + + + +
        +
      • +

        mult

        +
        public DenseMatrix mult(SparseMatrix mat)
        +
        Matrix multiplication with a sparse matrix
        +
        Parameters:
        mat - a sparse matrix
        +
        Returns:
        a dense matrix with results of matrix multiplication
        +
        • +
      + + + +
        +
      • +

        mult

        +
        public DenseVector mult(DenseVector vec)
        +
        Do matrix x vector between current matrix and a given vector
        +
        Returns:
        a dense vector with the results of matrix x vector
        +
        • +
      + + + + + + + +
        +
      • +

        mult

        +
        public static DenseMatrix mult(SparseMatrix sm,
+               DenseMatrix dm)
        +
        Matrix multiplication of a sparse matrix by a dense matrix
        +
        Parameters:
        sm - a sparse matrix
        dm - a dense matrix
        +
        Returns:
        a dense matrix with the results of matrix multiplication
        +
        • +
      + + + +
        +
      • +

        get

        +
        public double get(int row,
+         int column)
        +
        Get the value at entry [row, column]
        +
        • +
      + + + +
        +
      • +

        set

        +
        public void set(int row,
+       int column,
+       double val)
        +
        Set a value to entry [row, column]
        +
        • +
      + + + +
        +
      • +

        add

        +
        public void add(int row,
+       int column,
+       double val)
        +
        Add a value to entry [row, column]
        +
        • +
      + + + +
        +
      • +

        scale

        +
        public DenseMatrix scale(double val)
        +
        Returns:
        a new matrix by scaling the current matrix
        +
        • +
      + + + +
        +
      • +

        add

        +
        public DenseMatrix add(DenseMatrix mat)
        +
        Do A + B matrix operation
        +
        Returns:
        a matrix with results of C = A + B
        +
        • +
      + + + +
        +
      • +

        add

        +
        public DenseMatrix add(SparseMatrix mat)
        +
        Do A + B matrix operation
        +
        Returns:
        a matrix with results of C = A + B
        +
        • +
      + + + +
        +
      • +

        add

        +
        public DenseMatrix add(double val)
        +
        Do A + c matrix operation, where c is a constant. Each + entries will be added by c
        +
        Returns:
        a new matrix with results of C = A + c
        +
        • +
      + + + +
        +
      • +

        minus

        +
        public DenseMatrix minus(DenseMatrix mat)
        +
        Do A + B matrix operation
        +
        Returns:
        a matrix with results of C = A + B
        +
        • +
      + + + +
        +
      • +

        minus

        +
        public DenseMatrix minus(SparseMatrix mat)
        +
        Do A + B matrix operation
        +
        Returns:
        a matrix with results of C = A + B
        +
        • +
      + + + +
        +
      • +

        minus

        +
        public DenseMatrix minus(double val)
        +
        Do A + c matrix operation, where c is a constant. Each + entries will be added by c
        +
        Returns:
        a new matrix with results of C = A + c
        +
        • +
      + + + +
        +
      • +

        cholesky

        +
        public DenseMatrix cholesky()
        +
        Returns:
        the Cholesky decomposition of the current matrix
        +
        • +
      + + + +
        +
      • +

        transpose

        +
        public DenseMatrix transpose()
        +
        Returns:
        a transposed matrix of current matrix
        +
        • +
      + + + +
        +
      • +

        cov

        +
        public DenseMatrix cov()
        +
        Returns:
        a covariance matrix of the current matrix
        +
        • +
      + + + +
        +
      • +

        inverse

        +
        public DenseMatrix inverse()
        +
        Deprecated. use inv instead which is slightly faster
        +
        Compute the inverse of a matrix by LU decomposition
        +
        Returns:
        the inverse matrix of current matrix
        +
        • +
      + + + +
        +
      • +

        inv

        +
        public DenseMatrix inv()
        +
        NOTE: this implementation (adopted from PREA package) is slightly faster + than inverse, especailly when numRows is large.
        +
        Returns:
        the inverse matrix of current matrix
        +
        • +
      + + + +
        +
      • +

        setRow

        +
        public void setRow(int row,
+          double val)
        +
        set one value to a specific row
        +
        Parameters:
        row - row id
        val - value to be set
        +
        • +
      + + + +
        +
      • +

        setRow

        +
        public void setRow(int row,
+          DenseVector vals)
        +
        set values of one dense vector to a specific row
        +
        Parameters:
        row - row id
        vals - values of a dense vector
        +
        • +
      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        +
        Overrides:
        +
        toString in class java.lang.Object
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/DenseVector.html b/librec/doc/librec-v1.1/librec/data/DenseVector.html new file mode 100644 index 000000000..a52993731 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/DenseVector.html @@ -0,0 +1,579 @@ + + + + + +DenseVector + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class DenseVector

+
+
+ +
+
    +
  • +
    +
    +
    public class DenseVector
+extends java.lang.Object
    +
    Data Structure: dense vector
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      DenseVector(DenseVector vec) +
      Construct a dense vector by deeply copying data from a given vector
      +
      DenseVector(double[] array) +
      Construct a dense vector by deeply copying data from a given array
      +
      DenseVector(double[] array, + boolean deep) +
      Construct a dense vector by copying data from a given array
      +
      DenseVector(int size) +
      Construct a dense vector with a specific size
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      DenseVectoradd(DenseVector vec) +
      Do vector operation: a + b
      +
      DenseVectoradd(double val) 
      voidadd(int idx, + double val) +
      Add a value to entry [index]
      +
      DenseVectorclone() +
      Make a deep copy of current vector
      +
      doubleget(int idx) +
      Get a value at entry [index]
      +
      double[]getData() 
      voidinit() +
      Initialize a dense vector with Uniform values in (0, 1)
      +
      voidinit(double mean, + double sigma) +
      Initialize a dense vector with Gaussian values
      +
      doubleinner(DenseVector vec) +
      Do vector operation: a^t * b
      +
      doubleinner(SparseVector vec) +
      Do vector operation: a^t * b
      +
      doublemean() 
      DenseVectorminus(DenseVector vec) +
      Do vector operation: a - b
      +
      DenseVectorminus(double val) 
      voidminus(int idx, + double val) +
      Substract a value from entry [index]
      +
      DenseMatrixouter(DenseVector vec) +
      Do vector operation: a * b^t
      +
      DenseVectorscale(double val) 
      voidset(int idx, + double val) +
      Set a value to entry [index]
      +
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        DenseVector

        +
        public DenseVector(int size)
        +
        Construct a dense vector with a specific size
        +
        Parameters:
        size - the size of vector
        +
        • +
      + + + +
        +
      • +

        DenseVector

        +
        public DenseVector(double[] array)
        +
        Construct a dense vector by deeply copying data from a given array
        +
        • +
      + + + +
        +
      • +

        DenseVector

        +
        public DenseVector(double[] array,
+           boolean deep)
        +
        Construct a dense vector by copying data from a given array
        +
        Parameters:
        array - a given data array
        deep - whether to deep copy array data
        +
        • +
      + + + +
        +
      • +

        DenseVector

        +
        public DenseVector(DenseVector vec)
        +
        Construct a dense vector by deeply copying data from a given vector
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        clone

        +
        public DenseVector clone()
        +
        Make a deep copy of current vector
        +
        +
        Overrides:
        +
        clone in class java.lang.Object
        +
        +
        • +
      + + + +
        +
      • +

        init

        +
        public void init(double mean,
+        double sigma)
        +
        Initialize a dense vector with Gaussian values
        +
        • +
      + + + +
        +
      • +

        init

        +
        public void init()
        +
        Initialize a dense vector with Uniform values in (0, 1)
        +
        • +
      + + + +
        +
      • +

        get

        +
        public double get(int idx)
        +
        Get a value at entry [index]
        +
        • +
      + + + +
        +
      • +

        getData

        +
        public double[] getData()
        +
        Returns:
        vector's data
        +
        • +
      + + + +
        +
      • +

        mean

        +
        public double mean()
        +
        Returns:
        mean of current vector
        +
        • +
      + + + +
        +
      • +

        set

        +
        public void set(int idx,
+       double val)
        +
        Set a value to entry [index]
        +
        • +
      + + + +
        +
      • +

        add

        +
        public void add(int idx,
+       double val)
        +
        Add a value to entry [index]
        +
        • +
      + + + +
        +
      • +

        minus

        +
        public void minus(int idx,
+         double val)
        +
        Substract a value from entry [index]
        +
        • +
      + + + +
        +
      • +

        add

        +
        public DenseVector add(double val)
        +
        Returns:
        a dense vector by adding a value to all entries of current vector
        +
        • +
      + + + +
        +
      • +

        minus

        +
        public DenseVector minus(double val)
        +
        Returns:
        a dense vector by substructing a value from all entries of + current vector
        +
        • +
      + + + +
        +
      • +

        scale

        +
        public DenseVector scale(double val)
        +
        Returns:
        a dense vector by scaling a value to all entries of current + vector
        +
        • +
      + + + +
        +
      • +

        add

        +
        public DenseVector add(DenseVector vec)
        +
        Do vector operation: a + b
        +
        Returns:
        a dense vector with results of c = a + b
        +
        • +
      + + + +
        +
      • +

        minus

        +
        public DenseVector minus(DenseVector vec)
        +
        Do vector operation: a - b
        +
        Returns:
        a dense vector with results of c = a - b
        +
        • +
      + + + +
        +
      • +

        inner

        +
        public double inner(DenseVector vec)
        +
        Do vector operation: a^t * b
        +
        Returns:
        the inner product of two vectors
        +
        • +
      + + + +
        +
      • +

        inner

        +
        public double inner(SparseVector vec)
        +
        Do vector operation: a^t * b
        +
        Returns:
        the inner product of two vectors
        +
        • +
      + + + +
        +
      • +

        outer

        +
        public DenseMatrix outer(DenseVector vec)
        +
        Do vector operation: a * b^t
        +
        Returns:
        the outer product of two vectors
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/DiagMatrix.html b/librec/doc/librec-v1.1/librec/data/DiagMatrix.html new file mode 100644 index 000000000..5eb3773d5 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/DiagMatrix.html @@ -0,0 +1,387 @@ + + + + + +DiagMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class DiagMatrix

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Iterable<MatrixEntry>
    +
    +
    +
    +
    public class DiagMatrix
+extends SparseMatrix
    +
    Data Structure: Diagonal Matrix
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        DiagMatrix

        +
        public DiagMatrix(int rows,
+          int cols,
+          com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable)
        +
        • +
      + + + +
        +
      • +

        DiagMatrix

        +
        public DiagMatrix(DiagMatrix mat)
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + + + + + +
        +
      • +

        scale

        +
        public DiagMatrix scale(double val)
        +
        • +
      + + + + + + + +
        +
      • +

        add

        +
        public DiagMatrix add(double val)
        +
        Each diagonal entry addes val
        +
        Parameters:
        val - a value to be added
        +
        Returns:
        a new diagonal matrix
        +
        • +
      + + + + + + + +
        +
      • +

        minus

        +
        public DiagMatrix minus(double val)
        +
        Each diagonal entry abstracts val
        +
        Parameters:
        val - a value to be abstracted
        +
        Returns:
        a new diagonal matrix
        +
        • +
      + + + +
        +
      • +

        eye

        +
        public static DiagMatrix eye(int n)
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/MatrixEntry.html b/librec/doc/librec-v1.1/librec/data/MatrixEntry.html new file mode 100644 index 000000000..fefd8ee82 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/MatrixEntry.html @@ -0,0 +1,258 @@ + + + + + +MatrixEntry + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.data
+

Interface MatrixEntry

+
+
+
+
    +
  • +
    +
    +
    public interface MatrixEntry
    +
    An entry of a matrix.
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      intcolumn() +
      Returns the current column index
      +
      doubleget() +
      Returns the value at the current index
      +
      introw() +
      Returns the current row index
      +
      voidset(double value) +
      Sets the value at the current index
      +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        row

        +
        int row()
        +
        Returns the current row index
        +
        • +
      + + + +
        +
      • +

        column

        +
        int column()
        +
        Returns the current column index
        +
        • +
      + + + +
        +
      • +

        get

        +
        double get()
        +
        Returns the value at the current index
        +
        • +
      + + + +
        +
      • +

        set

        +
        void set(double value)
        +
        Sets the value at the current index
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/SparseMatrix.html b/librec/doc/librec-v1.1/librec/data/SparseMatrix.html new file mode 100644 index 000000000..b37286f6f --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/SparseMatrix.html @@ -0,0 +1,751 @@ + + + + + +SparseMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class SparseMatrix

+
+
+ +
+ +
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      SparseMatrix(int rows, + int cols, + com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable) +
      Construct a sparse matrix with only CRS structures
      +
      SparseMatrix(int rows, + int cols, + com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable, + boolean isCCSUsed) +
      Deprecated.  +
      I don't recommend to use this method as it (takes time and) + is better to constructe the column structure at the time when + you construct the row structure (of data table). This method + is put here (as an example) to show how to construct column + structure according to the data table.
      +
      +
      SparseMatrix(int rows, + int cols, + com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable, + com.google.common.collect.Multimap<java.lang.Integer,java.lang.Integer> colMap) +
      Construct a sparse matrix with both CRS and CCS structures
      +
      SparseMatrix(SparseMatrix mat) 
      SparseMatrix(SparseMatrix mat, + boolean deap) +
      Construct a sparse matrix from another sparse matrix
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      voidadd(int row, + int column, + double val) +
      Add a value to entry [row, column]
      +
      SparseMatrixclone() +
      Make a deep clone of current matrix
      +
      SparseVectorcolumn(int col) +
      get a col sparse vector of a matrix
      +
      java.util.List<java.lang.Integer>columns() 
      intcolumnSize(int col) +
      query the size of a specific col
      +
      java.util.List<java.lang.Integer>columnZeros(int col) +
      get a list of entries (for a specific column) with values 0
      +
      doubleget(int row, + int column) +
      Retrieve value at entry [row, column]
      +
      int[]getColumnIndices() 
      double[]getData() 
      int[]getRowPointers() 
      java.util.Iterator<MatrixEntry>iterator() 
      doublemean() 
      intnumColumns() 
      intnumRows() 
      SparseVectorrow(int row) +
      get a row sparse vector of a matrix
      +
      SparseVectorrow(int row, + int except) +
      get a row sparse vector of a matrix
      +
      java.util.List<java.lang.Integer>rows() 
      introwSize(int row) +
      query the size of a specific row
      +
      java.util.List<java.lang.Integer>rowZeros(int row) +
      get a list of entries (for a specific row) with values 0
      +
      voidset(int row, + int column, + double val) +
      Set a value to entry [row, column]
      +
      intsize() 
      doublesum() 
      java.lang.StringtoString() 
      SparseMatrixtranspose() 
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        SparseMatrix

        +
        public SparseMatrix(int rows,
+            int cols,
+            com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable,
+            com.google.common.collect.Multimap<java.lang.Integer,java.lang.Integer> colMap)
        +
        Construct a sparse matrix with both CRS and CCS structures
        +
        • +
      + + + +
        +
      • +

        SparseMatrix

        +
        public SparseMatrix(int rows,
+            int cols,
+            com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable)
        +
        Construct a sparse matrix with only CRS structures
        +
        • +
      + + + +
        +
      • +

        SparseMatrix

        +
        public SparseMatrix(int rows,
+            int cols,
+            com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable,
+            boolean isCCSUsed)
        +
        Deprecated. I don't recommend to use this method as it (takes time and) + is better to constructe the column structure at the time when + you construct the row structure (of data table). This method + is put here (as an example) to show how to construct column + structure according to the data table.
        +
        Construct a sparse matrix with CRS structures (CCS structure optional).
        +
        • +
      + + + +
        +
      • +

        SparseMatrix

        +
        public SparseMatrix(SparseMatrix mat)
        +
        • +
      + + + +
        +
      • +

        SparseMatrix

        +
        public SparseMatrix(SparseMatrix mat,
+            boolean deap)
        +
        Construct a sparse matrix from another sparse matrix
        +
        Parameters:
        mat - the original sparse matrix
        deap - whether to copy the CCS structures
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        clone

        +
        public SparseMatrix clone()
        +
        Make a deep clone of current matrix
        +
        +
        Overrides:
        +
        clone in class java.lang.Object
        +
        +
        • +
      + + + +
        +
      • +

        transpose

        +
        public SparseMatrix transpose()
        +
        Returns:
        the transpose of current matrix
        +
        • +
      + + + +
        +
      • +

        getRowPointers

        +
        public int[] getRowPointers()
        +
        Returns:
        the row pointers of CRS structure
        +
        • +
      + + + +
        +
      • +

        getColumnIndices

        +
        public int[] getColumnIndices()
        +
        Returns:
        the column indices of CCS structure
        +
        • +
      + + + +
        +
      • +

        size

        +
        public int size()
        +
        Returns:
        the cardinary of current matrix
        +
        • +
      + + + +
        +
      • +

        numRows

        +
        public int numRows()
        +
        Returns:
        number of rows
        +
        • +
      + + + +
        +
      • +

        numColumns

        +
        public int numColumns()
        +
        Returns:
        number of columns
        +
        • +
      + + + +
        +
      • +

        getData

        +
        public double[] getData()
        +
        Returns:
        referce to the data of current matrix
        +
        • +
      + + + +
        +
      • +

        set

        +
        public void set(int row,
+       int column,
+       double val)
        +
        Set a value to entry [row, column]
        +
        Parameters:
        row - row id
        column - column id
        val - value to set
        +
        • +
      + + + +
        +
      • +

        add

        +
        public void add(int row,
+       int column,
+       double val)
        +
        Add a value to entry [row, column]
        +
        Parameters:
        row - row id
        column - column id
        val - value to add
        +
        • +
      + + + +
        +
      • +

        get

        +
        public double get(int row,
+         int column)
        +
        Retrieve value at entry [row, column]
        +
        Parameters:
        row - row id
        column - column id
        +
        Returns:
        value at entry [row, column]
        +
        • +
      + + + +
        +
      • +

        row

        +
        public SparseVector row(int row)
        +
        get a row sparse vector of a matrix
        +
        Parameters:
        row - row id
        +
        Returns:
        a sparse vector of {index, value}
        +
        • +
      + + + +
        +
      • +

        rowZeros

        +
        public java.util.List<java.lang.Integer> rowZeros(int row)
        +
        get a list of entries (for a specific row) with values 0
        +
        Parameters:
        row - row id
        +
        Returns:
        a list of entries
        +
        • +
      + + + +
        +
      • +

        row

        +
        public SparseVector row(int row,
+               int except)
        +
        get a row sparse vector of a matrix
        +
        Parameters:
        row - row id
        except - row id to be excluded
        +
        Returns:
        a sparse vector of {index, value}
        +
        • +
      + + + +
        +
      • +

        rowSize

        +
        public int rowSize(int row)
        +
        query the size of a specific row
        +
        Parameters:
        row - row id
        +
        Returns:
        the size of non-zero elements of a row
        +
        • +
      + + + +
        +
      • +

        rows

        +
        public java.util.List<java.lang.Integer> rows()
        +
        Returns:
        a list of rows which have at least one non-empty entry
        +
        • +
      + + + +
        +
      • +

        column

        +
        public SparseVector column(int col)
        +
        get a col sparse vector of a matrix
        +
        Parameters:
        col - col id
        +
        Returns:
        a sparse vector of {index, value}
        +
        • +
      + + + +
        +
      • +

        columnZeros

        +
        public java.util.List<java.lang.Integer> columnZeros(int col)
        +
        get a list of entries (for a specific column) with values 0
        +
        Parameters:
        col - column id
        +
        Returns:
        a list of entries
        +
        • +
      + + + +
        +
      • +

        columnSize

        +
        public int columnSize(int col)
        +
        query the size of a specific col
        +
        Parameters:
        col - col id
        +
        Returns:
        the size of non-zero elements of a row
        +
        • +
      + + + +
        +
      • +

        columns

        +
        public java.util.List<java.lang.Integer> columns()
        +
        Returns:
        a list of columns which have at least one non-empty entry
        +
        • +
      + + + +
        +
      • +

        sum

        +
        public double sum()
        +
        Returns:
        sum of matrix data
        +
        • +
      + + + +
        +
      • +

        mean

        +
        public double mean()
        +
        Returns:
        mean of matrix data
        +
        • +
      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        +
        Overrides:
        +
        toString in class java.lang.Object
        +
        +
        • +
      + + + +
        +
      • +

        iterator

        +
        public java.util.Iterator<MatrixEntry> iterator()
        +
        +
        Specified by:
        +
        iterator in interface java.lang.Iterable<MatrixEntry>
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/SparseVector.html b/librec/doc/librec-v1.1/librec/data/SparseVector.html new file mode 100644 index 000000000..00583d724 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/SparseVector.html @@ -0,0 +1,526 @@ + + + + + +SparseVector + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class SparseVector

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Iterable<VectorEntry>
    +
    +
    +
    +
    public class SparseVector
+extends java.lang.Object
+implements java.lang.Iterable<VectorEntry>
    +
    Data Structure: Sparse Vector whose implementation is modified from M4J + library
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      SparseVector(int capcity) +
      Construct a sparse vector with its maximum capacity
      +
      SparseVector(int capcity, + double[] array) +
      Construct a sparse vector with its maximum capacity, filled with given + data array
      +
      SparseVector(SparseVector sv) +
      Construct a sparse vecto by deeply copying another vector
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      voidadd(int idx, + double val) +
      Add a value to entry [idx]
      +
      booleancontains(int idx) +
      Check if a vector contains a specific index
      +
      doubleget(int idx) +
      Retrieve a value at entry [idx]
      +
      intgetCount() +
      Number of entries in the sparse structure
      +
      double[]getData() +
      Returns the internal data
      +
      int[]getIndex() +
      Returns the indices
      +
      doubleinner(DenseVector vec) 
      doubleinner(SparseVector vec) 
      java.util.Iterator<VectorEntry>iterator() 
      doublemean() 
      voidset(int idx, + double val) +
      Set a value to entry [idx]
      +
      intsize() 
      doublesum() 
      java.util.Map<java.lang.Integer,java.lang.Double>toMap() 
      java.lang.StringtoString() 
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        SparseVector

        +
        public SparseVector(int capcity)
        +
        Construct a sparse vector with its maximum capacity
        +
        Parameters:
        capcity - maximum size of the sparse vector
        +
        • +
      + + + +
        +
      • +

        SparseVector

        +
        public SparseVector(int capcity,
+            double[] array)
        +
        Construct a sparse vector with its maximum capacity, filled with given + data array
        +
        Parameters:
        capcity - maximum size of the sparse vector
        array - input data
        +
        • +
      + + + +
        +
      • +

        SparseVector

        +
        public SparseVector(SparseVector sv)
        +
        Construct a sparse vecto by deeply copying another vector
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        contains

        +
        public boolean contains(int idx)
        +
        Check if a vector contains a specific index
        +
        Parameters:
        idx - the idex to search
        +
        • +
      + + + +
        +
      • +

        getData

        +
        public double[] getData()
        +
        Returns the internal data
        +
        • +
      + + + +
        +
      • +

        getIndex

        +
        public int[] getIndex()
        +
        Returns the indices
        +
        • +
      + + + +
        +
      • +

        getCount

        +
        public int getCount()
        +
        Number of entries in the sparse structure
        +
        • +
      + + + +
        +
      • +

        set

        +
        public void set(int idx,
+       double val)
        +
        Set a value to entry [idx]
        +
        • +
      + + + +
        +
      • +

        add

        +
        public void add(int idx,
+       double val)
        +
        Add a value to entry [idx]
        +
        • +
      + + + +
        +
      • +

        get

        +
        public double get(int idx)
        +
        Retrieve a value at entry [idx]
        +
        • +
      + + + +
        +
      • +

        inner

        +
        public double inner(SparseVector vec)
        +
        Returns:
        inner product with a given sparse vector
        +
        • +
      + + + +
        +
      • +

        inner

        +
        public double inner(DenseVector vec)
        +
        Returns:
        inner product with a given dense vector
        +
        • +
      + + + +
        +
      • +

        sum

        +
        public double sum()
        +
        Returns:
        sum of vector entries
        +
        • +
      + + + +
        +
      • +

        mean

        +
        public double mean()
        +
        Returns:
        mean of vector entries
        +
        • +
      + + + +
        +
      • +

        size

        +
        public int size()
        +
        Returns:
        the cardinary of a sparse vector
        +
        • +
      + + + +
        +
      • +

        iterator

        +
        public java.util.Iterator<VectorEntry> iterator()
        +
        +
        Specified by:
        +
        iterator in interface java.lang.Iterable<VectorEntry>
        +
        +
        • +
      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        +
        Overrides:
        +
        toString in class java.lang.Object
        +
        +
        • +
      + + + +
        +
      • +

        toMap

        +
        public java.util.Map<java.lang.Integer,java.lang.Double> toMap()
        +
        Returns:
        a map of {index, data} of the sparse vector
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/SymmMatrix.html b/librec/doc/librec-v1.1/librec/data/SymmMatrix.html new file mode 100644 index 000000000..de78f0a0f --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/SymmMatrix.html @@ -0,0 +1,375 @@ + + + + + +SymmMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + +
+
librec.data
+

Class SymmMatrix

+
+
+ +
+
    +
  • +
    +
    +
    public class SymmMatrix
+extends java.lang.Object
    +
    Data Structure, Lower Symmetric Matrix
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + + + + +
      Constructors 
      Constructor and Description
      SymmMatrix(int dim) +
      Construct a symmetric matrix
      +
      SymmMatrix(SymmMatrix mat) +
      Construct a symmetric matrix by deeply copying data from a given matrix
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      voidadd(int row, + int col, + double val) +
      add a value to entry (row, col)
      +
      SymmMatrixclone() +
      Make a deep copy of current matrix
      +
      doubleget(int row, + int col) +
      Get a value at entry (row, col)
      +
      SparseVectorrow(int row) +
      Retrieve a complete row of similar items
      +
      voidset(int row, + int col, + double val) +
      set a value to entry (row, col)
      +
      java.lang.StringtoString() 
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        SymmMatrix

        +
        public SymmMatrix(int dim)
        +
        Construct a symmetric matrix
        +
        • +
      + + + +
        +
      • +

        SymmMatrix

        +
        public SymmMatrix(SymmMatrix mat)
        +
        Construct a symmetric matrix by deeply copying data from a given matrix
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        clone

        +
        public SymmMatrix clone()
        +
        Make a deep copy of current matrix
        +
        +
        Overrides:
        +
        clone in class java.lang.Object
        +
        +
        • +
      + + + +
        +
      • +

        get

        +
        public double get(int row,
+         int col)
        +
        Get a value at entry (row, col)
        +
        • +
      + + + +
        +
      • +

        set

        +
        public void set(int row,
+       int col,
+       double val)
        +
        set a value to entry (row, col)
        +
        • +
      + + + +
        +
      • +

        add

        +
        public void add(int row,
+       int col,
+       double val)
        +
        add a value to entry (row, col)
        +
        • +
      + + + +
        +
      • +

        row

        +
        public SparseVector row(int row)
        +
        Retrieve a complete row of similar items
        +
        • +
      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        +
        Overrides:
        +
        toString in class java.lang.Object
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/VectorEntry.html b/librec/doc/librec-v1.1/librec/data/VectorEntry.html new file mode 100644 index 000000000..cb05ffa2a --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/VectorEntry.html @@ -0,0 +1,242 @@ + + + + + +VectorEntry + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.data
+

Interface VectorEntry

+
+
+
+
    +
  • +
    +
    +
    public interface VectorEntry
    +
    An entry of a vector.
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      doubleget() +
      Returns the value at the current index
      +
      intindex() +
      Returns the current index
      +
      voidset(double value) +
      Sets the value at the current index
      +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        index

        +
        int index()
        +
        Returns the current index
        +
        • +
      + + + +
        +
      • +

        get

        +
        double get()
        +
        Returns the value at the current index
        +
        • +
      + + + +
        +
      • +

        set

        +
        void set(double value)
        +
        Sets the value at the current index
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+
    +
  • Summary: 
    • +
  • Nested | 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/DataConvertor.html b/librec/doc/librec-v1.1/librec/data/class-use/DataConvertor.html new file mode 100644 index 000000000..9e700a666 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/DataConvertor.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.data.DataConvertor + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.DataConvertor

+
+
No usage of librec.data.DataConvertor
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/DataDAO.html b/librec/doc/librec-v1.1/librec/data/class-use/DataDAO.html new file mode 100644 index 000000000..0263dff61 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/DataDAO.html @@ -0,0 +1,155 @@ + + + + + +Uses of Class librec.data.DataDAO + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.DataDAO

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/DataSplitter.html b/librec/doc/librec-v1.1/librec/data/class-use/DataSplitter.html new file mode 100644 index 000000000..a8d5bd2c3 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/DataSplitter.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.data.DataSplitter + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.DataSplitter

+
+
No usage of librec.data.DataSplitter
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/DenseMatrix.html b/librec/doc/librec-v1.1/librec/data/class-use/DenseMatrix.html new file mode 100644 index 000000000..2a7e5f975 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/DenseMatrix.html @@ -0,0 +1,329 @@ + + + + + +Uses of Class librec.data.DenseMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.DenseMatrix

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/DenseVector.html b/librec/doc/librec-v1.1/librec/data/class-use/DenseVector.html new file mode 100644 index 000000000..7a200dc31 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/DenseVector.html @@ -0,0 +1,267 @@ + + + + + +Uses of Class librec.data.DenseVector + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.DenseVector

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/DiagMatrix.html b/librec/doc/librec-v1.1/librec/data/class-use/DiagMatrix.html new file mode 100644 index 000000000..b0c39e7ca --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/DiagMatrix.html @@ -0,0 +1,211 @@ + + + + + +Uses of Class librec.data.DiagMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.DiagMatrix

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/MatrixEntry.html b/librec/doc/librec-v1.1/librec/data/class-use/MatrixEntry.html new file mode 100644 index 000000000..d131b6d0b --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/MatrixEntry.html @@ -0,0 +1,155 @@ + + + + + +Uses of Interface librec.data.MatrixEntry + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Interface
librec.data.MatrixEntry

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/SparseMatrix.html b/librec/doc/librec-v1.1/librec/data/class-use/SparseMatrix.html new file mode 100644 index 000000000..0216e0a21 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/SparseMatrix.html @@ -0,0 +1,553 @@ + + + + + +Uses of Class librec.data.SparseMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.SparseMatrix

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/SparseVector.html b/librec/doc/librec-v1.1/librec/data/class-use/SparseVector.html new file mode 100644 index 000000000..7f193e8c5 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/SparseVector.html @@ -0,0 +1,212 @@ + + + + + +Uses of Class librec.data.SparseVector + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.SparseVector

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/SymmMatrix.html b/librec/doc/librec-v1.1/librec/data/class-use/SymmMatrix.html new file mode 100644 index 000000000..d6e491fa6 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/SymmMatrix.html @@ -0,0 +1,170 @@ + + + + + +Uses of Class librec.data.SymmMatrix + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.data.SymmMatrix

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/class-use/VectorEntry.html b/librec/doc/librec-v1.1/librec/data/class-use/VectorEntry.html new file mode 100644 index 000000000..d724b4b08 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/class-use/VectorEntry.html @@ -0,0 +1,155 @@ + + + + + +Uses of Interface librec.data.VectorEntry + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Interface
librec.data.VectorEntry

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/package-frame.html b/librec/doc/librec-v1.1/librec/data/package-frame.html new file mode 100644 index 000000000..ef06fce71 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/package-frame.html @@ -0,0 +1,32 @@ + + + + + +librec.data + + + + +

librec.data

+
+

Interfaces

+ +

Classes

+ +
+ + diff --git a/librec/doc/librec-v1.1/librec/data/package-summary.html b/librec/doc/librec-v1.1/librec/data/package-summary.html new file mode 100644 index 000000000..c8cfc4908 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/package-summary.html @@ -0,0 +1,222 @@ + + + + + +librec.data + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Package librec.data

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/package-tree.html b/librec/doc/librec-v1.1/librec/data/package-tree.html new file mode 100644 index 000000000..f8642eb6e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/package-tree.html @@ -0,0 +1,144 @@ + + + + + +librec.data Class Hierarchy + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Hierarchy For Package librec.data

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +

Interface Hierarchy

+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/data/package-use.html b/librec/doc/librec-v1.1/librec/data/package-use.html new file mode 100644 index 000000000..6fd1424b8 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/data/package-use.html @@ -0,0 +1,349 @@ + + + + + +Uses of Package librec.data + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Package
librec.data

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/AR.html b/librec/doc/librec-v1.1/librec/ext/AR.html new file mode 100644 index 000000000..cd03375e0 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/AR.html @@ -0,0 +1,289 @@ + + + + + +AR + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.ext
+

Class AR

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class AR
+extends Recommender
    +
    Choonho Kim and Juntae Kim, A Recommendation Algorithm Using + Multi-Level Association Rules, WI 2003. + +

    + Simple Association Rule Recommender: we do not consider the item categories + (or multi levels) used in the original paper. Besides, we consider all + association rules without ruling out weak ones (by setting high support and + confidence threshold). +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/Hybrid.html b/librec/doc/librec-v1.1/librec/ext/Hybrid.html new file mode 100644 index 000000000..6eb6079b1 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/Hybrid.html @@ -0,0 +1,319 @@ + + + + + +Hybrid + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ext
+

Class Hybrid

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class Hybrid
+extends Recommender
    +
    Zhou et al., Solving the apparent diversity-accuracy dilemma of + recommender systems, Proceedings of the National Academy of + Sciences, 2010.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class Recommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/NMF.html b/librec/doc/librec-v1.1/librec/ext/NMF.html new file mode 100644 index 000000000..0b8ba9bee --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/NMF.html @@ -0,0 +1,323 @@ + + + + + +NMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ext
+

Class NMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class NMF
+extends IterativeRecommender
    +
    Daniel D. Lee and H. Sebastian Seung, Algorithms for Non-negative + Matrix Factorization, NIPS 2001.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/PD.html b/librec/doc/librec-v1.1/librec/ext/PD.html new file mode 100644 index 000000000..3015add9f --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/PD.html @@ -0,0 +1,326 @@ + + + + + +PD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ext
+

Class PD

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class PD
+extends Recommender
    +
    Pennock et al., Collaborative Filtering by Personality Diagnosis: A + Hybrid Memory- and Model-based Approach, UAI 2000. + +

    + Related Work: +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class Recommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/PRankD.html b/librec/doc/librec-v1.1/librec/ext/PRankD.html new file mode 100644 index 000000000..7e6d6d9b6 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/PRankD.html @@ -0,0 +1,336 @@ + + + + + +PRankD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ext
+

Class PRankD

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class PRankD
+extends RankSGD
    +
    Neil Hurley, Personalised ranking with diversity, RecSys + 2013. + +

    + Related Work: +

      +
    • Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, + 2012 (KDD Cup 2011 Track 2).
      • +
    +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class RankSGD
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/SlopeOne.html b/librec/doc/librec-v1.1/librec/ext/SlopeOne.html new file mode 100644 index 000000000..c06cef3f7 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/SlopeOne.html @@ -0,0 +1,282 @@ + + + + + +SlopeOne + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.ext
+

Class SlopeOne

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class SlopeOne
+extends Recommender
    +
    Weighted Slope One: Lemire and Maclachlan, Slope One Predictors for + Online Rating-Based Collaborative Filtering, SDM 2005.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/class-use/AR.html b/librec/doc/librec-v1.1/librec/ext/class-use/AR.html new file mode 100644 index 000000000..afdef6a16 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/class-use/AR.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ext.AR + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ext.AR

+
+
No usage of librec.ext.AR
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/class-use/Hybrid.html b/librec/doc/librec-v1.1/librec/ext/class-use/Hybrid.html new file mode 100644 index 000000000..8c5db26c5 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/class-use/Hybrid.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ext.Hybrid + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ext.Hybrid

+
+
No usage of librec.ext.Hybrid
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/class-use/NMF.html b/librec/doc/librec-v1.1/librec/ext/class-use/NMF.html new file mode 100644 index 000000000..831dca145 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/class-use/NMF.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ext.NMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ext.NMF

+
+
No usage of librec.ext.NMF
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/class-use/PD.html b/librec/doc/librec-v1.1/librec/ext/class-use/PD.html new file mode 100644 index 000000000..e9812bdc7 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/class-use/PD.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ext.PD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ext.PD

+
+
No usage of librec.ext.PD
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/class-use/PRankD.html b/librec/doc/librec-v1.1/librec/ext/class-use/PRankD.html new file mode 100644 index 000000000..a0b861eb7 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/class-use/PRankD.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ext.PRankD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ext.PRankD

+
+
No usage of librec.ext.PRankD
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/class-use/SlopeOne.html b/librec/doc/librec-v1.1/librec/ext/class-use/SlopeOne.html new file mode 100644 index 000000000..5ec677e8e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/class-use/SlopeOne.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ext.SlopeOne + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ext.SlopeOne

+
+
No usage of librec.ext.SlopeOne
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/package-frame.html b/librec/doc/librec-v1.1/librec/ext/package-frame.html new file mode 100644 index 000000000..6fd86253b --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/package-frame.html @@ -0,0 +1,24 @@ + + + + + +librec.ext + + + + +

librec.ext

+
+

Classes

+ +
+ + diff --git a/librec/doc/librec-v1.1/librec/ext/package-summary.html b/librec/doc/librec-v1.1/librec/ext/package-summary.html new file mode 100644 index 000000000..a69fa1f57 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/package-summary.html @@ -0,0 +1,171 @@ + + + + + +librec.ext + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Package librec.ext

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/package-tree.html b/librec/doc/librec-v1.1/librec/ext/package-tree.html new file mode 100644 index 000000000..80b02c449 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/package-tree.html @@ -0,0 +1,145 @@ + + + + + +librec.ext Class Hierarchy + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Hierarchy For Package librec.ext

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ext/package-use.html b/librec/doc/librec-v1.1/librec/ext/package-use.html new file mode 100644 index 000000000..c86cccd31 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ext/package-use.html @@ -0,0 +1,115 @@ + + + + + +Uses of Package librec.ext + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Package
librec.ext

+
+
No usage of librec.ext
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/IterativeRecommender.html b/librec/doc/librec-v1.1/librec/intf/IterativeRecommender.html new file mode 100644 index 000000000..5f100c909 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/IterativeRecommender.html @@ -0,0 +1,321 @@ + + + + + +IterativeRecommender + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.intf
+

Class IterativeRecommender

+
+
+ +
+ +
+
+ +
+
+
    +
  • + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        IterativeRecommender

        +
        public IterativeRecommender(SparseMatrix trainMatrix,
+                    SparseMatrix testMatrix,
+                    int fold)
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class Recommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/Recommender.Measure.html b/librec/doc/librec-v1.1/librec/intf/Recommender.Measure.html new file mode 100644 index 000000000..adaa82a77 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/Recommender.Measure.html @@ -0,0 +1,493 @@ + + + + + +Recommender.Measure + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.intf
+

Enum Recommender.Measure

+
+
+ +
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      static Recommender.MeasurevalueOf(java.lang.String name) +
      Returns the enum constant of this type with the specified name.
      +
      static Recommender.Measure[]values() +
      Returns an array containing the constants of this enum type, in +the order they are declared.
      +
      +
        +
      • + + +

        Methods inherited from class java.lang.Enum

        +compareTo, equals, getDeclaringClass, hashCode, name, ordinal, toString, valueOf
        • +
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +getClass, notify, notifyAll, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        values

        +
        public static Recommender.Measure[] values()
        +
        Returns an array containing the constants of this enum type, in +the order they are declared. This method may be used to iterate +over the constants as follows: +
        +for (Recommender.Measure c : Recommender.Measure.values())
+    System.out.println(c);
+
        +
        Returns:
        an array containing the constants of this enum type, in +the order they are declared
        +
        • +
      + + + +
        +
      • +

        valueOf

        +
        public static Recommender.Measure valueOf(java.lang.String name)
        +
        Returns the enum constant of this type with the specified name. +The string must match exactly an identifier used to declare an +enum constant in this type. (Extraneous whitespace characters are +not permitted.)
        +
        Parameters:
        name - the name of the enum constant to be returned.
        +
        Returns:
        the enum constant with the specified name
        +
        Throws:
        +
        java.lang.IllegalArgumentException - if this enum type has no constant +with the specified name
        +
        java.lang.NullPointerException - if the argument is null
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/Recommender.html b/librec/doc/librec-v1.1/librec/intf/Recommender.html new file mode 100644 index 000000000..622175618 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/Recommender.html @@ -0,0 +1,469 @@ + + + + + +Recommender + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.intf
+

Class Recommender

+
+
+ +
+ +
+
+
    +
  • + +
      +
    • + + +

      Nested Class Summary

      + + + + + + + + + + +
      Nested Classes 
      Modifier and TypeClass and Description
      static class Recommender.Measure 
      +
      • +
    + +
      +
    • + + +

      Field Summary

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Fields 
      Modifier and TypeField and Description
      java.lang.StringalgoName +
      Recommender-specific parameters
      +
      static happy.coding.io.Configercf +
      Static parameters for all recommenders
      +
      static booleanisRankingPred 
      java.util.Map<Recommender.Measure,java.lang.Double>measures 
      static java.util.Map<java.lang.String,java.util.List<java.lang.Double>>params 
      static DataDAOrateDao 
      static SparseMatrixrateMatrix 
      +
      • +
    + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + +
      Constructors 
      Constructor and Description
      Recommender(SparseMatrix trainMatrix, + SparseMatrix testMatrix, + int fold) +
      Constructor for Recommender
      +
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      voidexecute() +
      execution method of a recommender
      +
      static java.lang.StringgetEvalInfo(java.util.Map<Recommender.Measure,java.lang.Double> measures) 
      voidrun() 
      java.lang.StringtoString() +
      useful to print out specific recommender's settings
      +
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Field Detail

      + + + +
        +
      • +

        cf

        +
        public static happy.coding.io.Configer cf
        +
        Static parameters for all recommenders
        +
        • +
      + + + + + + + +
        +
      • +

        params

        +
        public static java.util.Map<java.lang.String,java.util.List<java.lang.Double>> params
        +
        • +
      + + + +
        +
      • +

        isRankingPred

        +
        public static boolean isRankingPred
        +
        • +
      + + + +
        +
      • +

        rateDao

        +
        public static DataDAO rateDao
        +
        • +
      + + + +
        +
      • +

        algoName

        +
        public java.lang.String algoName
        +
        Recommender-specific parameters
        +
        • +
      + + + + +
      • +
    + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        Recommender

        +
        public Recommender(SparseMatrix trainMatrix,
+           SparseMatrix testMatrix,
+           int fold)
        +
        Constructor for Recommender
        +
        Parameters:
        trainMatrix - train matrix
        testMatrix - test matrix
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        run

        +
        public void run()
        +
        +
        Specified by:
        +
        run in interface java.lang.Runnable
        +
        +
        • +
      + + + +
        +
      • +

        execute

        +
        public void execute()
        +
        execution method of a recommender
        +
        • +
      + + + +
        +
      • +

        getEvalInfo

        +
        public static java.lang.String getEvalInfo(java.util.Map<Recommender.Measure,java.lang.Double> measures)
        +
        Returns:
        the evaluation information of a recommend
        +
        • +
      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class java.lang.Object
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/SocialRecommender.html b/librec/doc/librec-v1.1/librec/intf/SocialRecommender.html new file mode 100644 index 000000000..4cddc9d7b --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/SocialRecommender.html @@ -0,0 +1,326 @@ + + + + + +SocialRecommender + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.intf
+

Class SocialRecommender

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    Direct Known Subclasses:
    +
    RSTE, SocialMF, SoRec, SoReg, TrustMF
    +
    +
    +
    +
    public abstract class SocialRecommender
+extends IterativeRecommender
    +
    Recommenders in which social information is used
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class IterativeRecommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/class-use/IterativeRecommender.html b/librec/doc/librec-v1.1/librec/intf/class-use/IterativeRecommender.html new file mode 100644 index 000000000..2993d71a8 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/class-use/IterativeRecommender.html @@ -0,0 +1,325 @@ + + + + + +Uses of Class librec.intf.IterativeRecommender + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.intf.IterativeRecommender

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/class-use/Recommender.Measure.html b/librec/doc/librec-v1.1/librec/intf/class-use/Recommender.Measure.html new file mode 100644 index 000000000..5f6d4c467 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/class-use/Recommender.Measure.html @@ -0,0 +1,190 @@ + + + + + +Uses of Class librec.intf.Recommender.Measure + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.intf.Recommender.Measure

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/class-use/Recommender.html b/librec/doc/librec-v1.1/librec/intf/class-use/Recommender.html new file mode 100644 index 000000000..95da0f8d7 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/class-use/Recommender.html @@ -0,0 +1,426 @@ + + + + + +Uses of Class librec.intf.Recommender + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.intf.Recommender

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/class-use/SocialRecommender.html b/librec/doc/librec-v1.1/librec/intf/class-use/SocialRecommender.html new file mode 100644 index 000000000..5eb03da94 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/class-use/SocialRecommender.html @@ -0,0 +1,183 @@ + + + + + +Uses of Class librec.intf.SocialRecommender + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.intf.SocialRecommender

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/package-frame.html b/librec/doc/librec-v1.1/librec/intf/package-frame.html new file mode 100644 index 000000000..81979335a --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/package-frame.html @@ -0,0 +1,25 @@ + + + + + +librec.intf + + + + +

librec.intf

+
+

Classes

+ +

Enums

+ +
+ + diff --git a/librec/doc/librec-v1.1/librec/intf/package-summary.html b/librec/doc/librec-v1.1/librec/intf/package-summary.html new file mode 100644 index 000000000..a72d2209f --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/package-summary.html @@ -0,0 +1,162 @@ + + + + + +librec.intf + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Package librec.intf

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/package-tree.html b/librec/doc/librec-v1.1/librec/intf/package-tree.html new file mode 100644 index 000000000..2a229614b --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/package-tree.html @@ -0,0 +1,148 @@ + + + + + +librec.intf Class Hierarchy + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Hierarchy For Package librec.intf

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +

Enum Hierarchy

+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/intf/package-use.html b/librec/doc/librec-v1.1/librec/intf/package-use.html new file mode 100644 index 000000000..9d75596d5 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/intf/package-use.html @@ -0,0 +1,262 @@ + + + + + +Uses of Package librec.intf + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Package
librec.intf

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/main/LibRec.html b/librec/doc/librec-v1.1/librec/main/LibRec.html new file mode 100644 index 000000000..22f5399bd --- /dev/null +++ b/librec/doc/librec-v1.1/librec/main/LibRec.html @@ -0,0 +1,327 @@ + + + + + +LibRec + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.main
+

Class LibRec

+
+
+ +
+
    +
  • +
    +
    +
    public class LibRec
+extends java.lang.Object
    +
    Main Class of the LibRec Library
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Field Summary

      + + + + + + + + + + + + + + +
      Fields 
      Modifier and TypeField and Description
      static booleanisMultRun 
      static intparamIdx 
      +
      • +
    + +
      +
    • + + +

      Constructor Summary

      + + + + + + + + +
      Constructors 
      Constructor and Description
      LibRec() 
      +
      • +
    + +
      +
    • + + +

      Method Summary

      + + + + + + + + + + + + + + +
      Methods 
      Modifier and TypeMethod and Description
      static voidmain(java.lang.String[] args) 
      static java.lang.Stringreadme() +
      Print out software information
      +
      +
        +
      • + + +

        Methods inherited from class java.lang.Object

        +equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
        • +
      +
      • +
    +
    • +
+
+
+
    +
  • + +
      +
    • + + +

      Field Detail

      + + + +
        +
      • +

        paramIdx

        +
        public static int paramIdx
        +
        • +
      + + + +
        +
      • +

        isMultRun

        +
        public static boolean isMultRun
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Constructor Detail

      + + + +
        +
      • +

        LibRec

        +
        public LibRec()
        +
        • +
      +
      • +
    + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        main

        +
        public static void main(java.lang.String[] args)
+                 throws java.lang.Exception
        +
        Throws:
        +
        java.lang.Exception
        +
        • +
      + + + +
        +
      • +

        readme

        +
        public static java.lang.String readme()
        +
        Print out software information
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/main/class-use/LibRec.html b/librec/doc/librec-v1.1/librec/main/class-use/LibRec.html new file mode 100644 index 000000000..63162f7ba --- /dev/null +++ b/librec/doc/librec-v1.1/librec/main/class-use/LibRec.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.main.LibRec + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.main.LibRec

+
+
No usage of librec.main.LibRec
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/main/package-frame.html b/librec/doc/librec-v1.1/librec/main/package-frame.html new file mode 100644 index 000000000..2a5a622ce --- /dev/null +++ b/librec/doc/librec-v1.1/librec/main/package-frame.html @@ -0,0 +1,19 @@ + + + + + +librec.main + + + + +

librec.main

+
+

Classes

+ +
+ + diff --git a/librec/doc/librec-v1.1/librec/main/package-summary.html b/librec/doc/librec-v1.1/librec/main/package-summary.html new file mode 100644 index 000000000..20fbe1827 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/main/package-summary.html @@ -0,0 +1,135 @@ + + + + + +librec.main + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Package librec.main

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/main/package-tree.html b/librec/doc/librec-v1.1/librec/main/package-tree.html new file mode 100644 index 000000000..a336fb041 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/main/package-tree.html @@ -0,0 +1,128 @@ + + + + + +librec.main Class Hierarchy + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Hierarchy For Package librec.main

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/main/package-use.html b/librec/doc/librec-v1.1/librec/main/package-use.html new file mode 100644 index 000000000..ab412d137 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/main/package-use.html @@ -0,0 +1,115 @@ + + + + + +Uses of Package librec.main + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Package
librec.main

+
+
No usage of librec.main
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/BPRMF.html b/librec/doc/librec-v1.1/librec/ranking/BPRMF.html new file mode 100644 index 000000000..83701105e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/BPRMF.html @@ -0,0 +1,332 @@ + + + + + +BPRMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ranking
+

Class BPRMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class BPRMF
+extends IterativeRecommender
    +
    Rendle et al., BPR: Bayesian Personalized Ranking from Implicit + Feedback, UAI 2009. + +

    This method aims to optimize the AUC measure.

    +

    + Related Work: +

      +
    • Gantner et al., Learning Attribute-to-Feature Mappings for Cold-Start + Recommendations, ICDM 2010.
      • +
    +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/CLiMF.html b/librec/doc/librec-v1.1/librec/ranking/CLiMF.html new file mode 100644 index 000000000..a3ffa0c76 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/CLiMF.html @@ -0,0 +1,294 @@ + + + + + +CLiMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.ranking
+

Class CLiMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class CLiMF
+extends IterativeRecommender
    +
    Shi et al., Climf: learning to maximize reciprocal rank with + collaborative less-is-more filtering., RecSys 2012.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/RankALS.html b/librec/doc/librec-v1.1/librec/ranking/RankALS.html new file mode 100644 index 000000000..a236aed19 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/RankALS.html @@ -0,0 +1,323 @@ + + + + + +RankALS + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ranking
+

Class RankALS

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class RankALS
+extends IterativeRecommender
    +
    Takacs and Tikk, Alternating Least Squares for Personalized + Ranking, RecSys 2012.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class IterativeRecommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/RankSGD.html b/librec/doc/librec-v1.1/librec/ranking/RankSGD.html new file mode 100644 index 000000000..2ec2186d4 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/RankSGD.html @@ -0,0 +1,327 @@ + + + + + +RankSGD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ranking
+

Class RankSGD

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    Direct Known Subclasses:
    +
    PRankD
    +
    +
    +
    +
    public class RankSGD
+extends IterativeRecommender
    +
    Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012 + (KDD Cup 2011 Track 2).
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class IterativeRecommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/WRMF.html b/librec/doc/librec-v1.1/librec/ranking/WRMF.html new file mode 100644 index 000000000..635dc63b4 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/WRMF.html @@ -0,0 +1,331 @@ + + + + + +WRMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.ranking
+

Class WRMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class WRMF
+extends IterativeRecommender
    +

    WRMF: Weighted Regularized Matrix Factorization.

    + + This implementation refers to the method proposed by Hu et al. at ICDM 2008. + +
      +
    • Binary ratings: Pan et al., One-class Collaborative + Filtering, ICDM 2008.
      • +
    • Real ratings: Hu et al., Collaborative filtering for + implicit feedback datasets, ICDM 2008.
      • +
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/class-use/BPRMF.html b/librec/doc/librec-v1.1/librec/ranking/class-use/BPRMF.html new file mode 100644 index 000000000..d65ede042 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/class-use/BPRMF.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ranking.BPRMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ranking.BPRMF

+
+
No usage of librec.ranking.BPRMF
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/class-use/CLiMF.html b/librec/doc/librec-v1.1/librec/ranking/class-use/CLiMF.html new file mode 100644 index 000000000..8394bab97 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/class-use/CLiMF.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ranking.CLiMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ranking.CLiMF

+
+
No usage of librec.ranking.CLiMF
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/class-use/RankALS.html b/librec/doc/librec-v1.1/librec/ranking/class-use/RankALS.html new file mode 100644 index 000000000..e816ecdba --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/class-use/RankALS.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ranking.RankALS + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ranking.RankALS

+
+
No usage of librec.ranking.RankALS
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/class-use/RankSGD.html b/librec/doc/librec-v1.1/librec/ranking/class-use/RankSGD.html new file mode 100644 index 000000000..6c20cf18b --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/class-use/RankSGD.html @@ -0,0 +1,158 @@ + + + + + +Uses of Class librec.ranking.RankSGD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ranking.RankSGD

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/class-use/WRMF.html b/librec/doc/librec-v1.1/librec/ranking/class-use/WRMF.html new file mode 100644 index 000000000..dc7138141 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/class-use/WRMF.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.ranking.WRMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.ranking.WRMF

+
+
No usage of librec.ranking.WRMF
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/package-frame.html b/librec/doc/librec-v1.1/librec/ranking/package-frame.html new file mode 100644 index 000000000..81ea197f3 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/package-frame.html @@ -0,0 +1,23 @@ + + + + + +librec.ranking + + + + +

librec.ranking

+
+

Classes

+ +
+ + diff --git a/librec/doc/librec-v1.1/librec/ranking/package-summary.html b/librec/doc/librec-v1.1/librec/ranking/package-summary.html new file mode 100644 index 000000000..7c239f087 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/package-summary.html @@ -0,0 +1,163 @@ + + + + + +librec.ranking + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Package librec.ranking

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/package-tree.html b/librec/doc/librec-v1.1/librec/ranking/package-tree.html new file mode 100644 index 000000000..de887dc89 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/package-tree.html @@ -0,0 +1,140 @@ + + + + + +librec.ranking Class Hierarchy + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Hierarchy For Package librec.ranking

+Package Hierarchies: + +
+
+

Class Hierarchy

+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/ranking/package-use.html b/librec/doc/librec-v1.1/librec/ranking/package-use.html new file mode 100644 index 000000000..d3aa64283 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/ranking/package-use.html @@ -0,0 +1,151 @@ + + + + + +Uses of Package librec.ranking + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Package
librec.ranking

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/BPMF.html b/librec/doc/librec-v1.1/librec/rating/BPMF.html new file mode 100644 index 000000000..8debd0efe --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/BPMF.html @@ -0,0 +1,327 @@ + + + + + +BPMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.rating
+

Class BPMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class BPMF
+extends IterativeRecommender
    +
    Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization + using Markov Chain Monte Carlo, ICML 2008.
    + + Matlab version is provided by the authors via this link. This + implementation is modified from the BayesianPMF by the PREA package.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/BiasedMF.html b/librec/doc/librec-v1.1/librec/rating/BiasedMF.html new file mode 100644 index 000000000..dd1f41715 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/BiasedMF.html @@ -0,0 +1,300 @@ + + + + + +BiasedMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class BiasedMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    Direct Known Subclasses:
    +
    SVDPlusPlus
    +
    +
    +
    +
    public class BiasedMF
+extends IterativeRecommender
    +
    Biased Matrix Factorization Models.
    + + NOTE: To have more control on learning, you can add additional regularation + parameters to user/item biases. For simplicity, we do not do this.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/ItemKNN.html b/librec/doc/librec-v1.1/librec/rating/ItemKNN.html new file mode 100644 index 000000000..7c5ad7f0c --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/ItemKNN.html @@ -0,0 +1,333 @@ + + + + + +ItemKNN + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.rating
+

Class ItemKNN

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class ItemKNN
+extends Recommender
    +

    Item-based Nearest Neighbors

    + +

    + It supports both recommendation tasks: (1) rating prediction; and (2) item + ranking (by configuring isRankingPred=on in the librec.conf). For + item ranking, the returned score is the summation of the similarities of + nearest neighbors (see Section 4.3.2 of Rendle et al., BPR: Bayesian + Personalized Ranking from Implicit Feedback, UAI 2009). +

    + +

    + When the number of items is extremely large which makes it memory intensive to + store/precompute all item-item correlations, a trick presented by (Jahrer and + Toscher, Collaborative Filtering Ensemble, JMLR 2012) can be applied. + Specifically, we can use a basic SVD model to obtain item-feature vectors, + and then item-item correlations can be computed by Eqs (13, 15). +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class Recommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/PMF.html b/librec/doc/librec-v1.1/librec/rating/PMF.html new file mode 100644 index 000000000..0894a1de4 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/PMF.html @@ -0,0 +1,294 @@ + + + + + +PMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class PMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class PMF
+extends IterativeRecommender
    +
    Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix + Factorization, NIPS 2008.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/RSTE.html b/librec/doc/librec-v1.1/librec/rating/RSTE.html new file mode 100644 index 000000000..2bfd81b7e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/RSTE.html @@ -0,0 +1,333 @@ + + + + + +RSTE + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.rating
+

Class RSTE

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class RSTE
+extends SocialRecommender
    +
    Hao Ma, Irwin King and Michael R. Lyu, Learning to Recommend with + Social Trust Ensemble, SIGIR 2009.
    + +

    + This method is quite time-consuming when dealing with the social influence + part. +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class SocialRecommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/RegSVD.html b/librec/doc/librec-v1.1/librec/rating/RegSVD.html new file mode 100644 index 000000000..39d8e376f --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/RegSVD.html @@ -0,0 +1,295 @@ + + + + + +RegSVD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class RegSVD

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class RegSVD
+extends IterativeRecommender
    +
    Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value + Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop, + 2007.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/SVDPlusPlus.html b/librec/doc/librec-v1.1/librec/rating/SVDPlusPlus.html new file mode 100644 index 000000000..f2d333729 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/SVDPlusPlus.html @@ -0,0 +1,299 @@ + + + + + +SVDPlusPlus + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class SVDPlusPlus

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class SVDPlusPlus
+extends BiasedMF
    +
    Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted + Collaborative Filtering Model., KDD 2008.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/SoRec.html b/librec/doc/librec-v1.1/librec/rating/SoRec.html new file mode 100644 index 000000000..fd85c53d8 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/SoRec.html @@ -0,0 +1,300 @@ + + + + + +SoRec + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class SoRec

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class SoRec
+extends SocialRecommender
    +
    Hao Ma, Haixuan Yang, Michael R. Lyu and Irwin King, SoRec: Social + recommendation using probabilistic matrix factorization, ACM CIKM + 2008.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/SoReg.html b/librec/doc/librec-v1.1/librec/rating/SoReg.html new file mode 100644 index 000000000..58074878c --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/SoReg.html @@ -0,0 +1,306 @@ + + + + + +SoReg + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class SoReg

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class SoReg
+extends SocialRecommender
    +
    Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu and Irwin King, + Recommender systems with social regularization, WSDM 2011.
    + +

    + In the original paper, this method is named as "SR2_pcc". For consistency, we + rename it as "SoReg" as used by some other papers such as: Tang et al., + Exploiting Local and Global Social Context for + Recommendation, IJCAI 2013. +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/SocialMF.html b/librec/doc/librec-v1.1/librec/rating/SocialMF.html new file mode 100644 index 000000000..ad58d52b9 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/SocialMF.html @@ -0,0 +1,299 @@ + + + + + +SocialMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class SocialMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class SocialMF
+extends SocialRecommender
    +
    Jamali and Ester, A matrix factorization technique with trust + propagation for recommendation in social networks, RecSys 2010.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/TrustMF.html b/librec/doc/librec-v1.1/librec/rating/TrustMF.html new file mode 100644 index 000000000..9c268044e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/TrustMF.html @@ -0,0 +1,299 @@ + + + + + +TrustMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + +
+
librec.rating
+

Class TrustMF

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class TrustMF
+extends SocialRecommender
    +
    Yang et al., Social Collaborative Filtering by Trust, IJCAI + 2013.
    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+ +
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ +
    +
  • Detail: 
    • +
  • Field | 
    • +
  • Constr | 
    • +
  • Method
    • +
+
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/UserKNN.html b/librec/doc/librec-v1.1/librec/rating/UserKNN.html new file mode 100644 index 000000000..c4dcf2c5e --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/UserKNN.html @@ -0,0 +1,332 @@ + + + + + +UserKNN + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + +
+
librec.rating
+

Class UserKNN

+
+
+ +
+
    +
  • +
    +
    All Implemented Interfaces:
    +
    java.lang.Runnable
    +
    +
    +
    +
    public class UserKNN
+extends Recommender
    +

    User-based Nearest Neighbors

    + +

    + It supports both recommendation tasks: (1) rating prediction; and (2) item + ranking (by configuring isRankingPred=on in the librec.conf). For + item ranking, the returned score is the summation of the similarities of + nearest neighbors. +

    + +

    + When the number of users is extremely large which makes it memory intensive + to store/precompute all user-user correlations, a trick presented by (Jahrer + and Toscher, Collaborative Filtering Ensemble, JMLR 2012) can be applied. + Specifically, we can use a basic SVD model to obtain user-feature vectors, + and then user-user correlations can be computed by Eqs (17, 15). +

    +
    Author:
    +
    guoguibing
    +
    • +
+
+
+ +
+
+
    +
  • + + + +
      +
    • + + +

      Method Detail

      + + + +
        +
      • +

        toString

        +
        public java.lang.String toString()
        +
        Description copied from class: Recommender
        +
        useful to print out specific recommender's settings
        +
        +
        Overrides:
        +
        toString in class Recommender
        +
        +
        • +
      +
      • +
    +
    • +
+
+
+ + +
+ + + + + +
+
+ + + +
+ +
+
+ + +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/BPMF.html b/librec/doc/librec-v1.1/librec/rating/class-use/BPMF.html new file mode 100644 index 000000000..4137646ff --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/class-use/BPMF.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.rating.BPMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.rating.BPMF

+
+
No usage of librec.rating.BPMF
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/BiasedMF.html b/librec/doc/librec-v1.1/librec/rating/class-use/BiasedMF.html new file mode 100644 index 000000000..17104f053 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/class-use/BiasedMF.html @@ -0,0 +1,158 @@ + + + + + +Uses of Class librec.rating.BiasedMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.rating.BiasedMF

+
+
+ +
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/ItemKNN.html b/librec/doc/librec-v1.1/librec/rating/class-use/ItemKNN.html new file mode 100644 index 000000000..1a4b0d022 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/class-use/ItemKNN.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.rating.ItemKNN + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.rating.ItemKNN

+
+
No usage of librec.rating.ItemKNN
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/PMF.html b/librec/doc/librec-v1.1/librec/rating/class-use/PMF.html new file mode 100644 index 000000000..6bf403508 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/class-use/PMF.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.rating.PMF + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.rating.PMF

+
+
No usage of librec.rating.PMF
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/RSTE.html b/librec/doc/librec-v1.1/librec/rating/class-use/RSTE.html new file mode 100644 index 000000000..7653ec34c --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/class-use/RSTE.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.rating.RSTE + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.rating.RSTE

+
+
No usage of librec.rating.RSTE
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
+ + + diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/RegSVD.html b/librec/doc/librec-v1.1/librec/rating/class-use/RegSVD.html new file mode 100644 index 000000000..77b122574 --- /dev/null +++ b/librec/doc/librec-v1.1/librec/rating/class-use/RegSVD.html @@ -0,0 +1,115 @@ + + + + + +Uses of Class librec.rating.RegSVD + + + + + + + +
+ + + + + +
+
+ + + +
+ +
+ + +
+ +
+

Uses of Class
librec.rating.RegSVD

+
+
No usage of librec.rating.RegSVD
+ +
+ + + + + +
+
+ + + +
+ +
+ + +
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Uses of Class
librec.rating.SVDPlusPlus

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Uses of Class
librec.rating.SoRec

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No usage of librec.rating.SoRec
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Uses of Class
librec.rating.SoReg

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+
No usage of librec.rating.SoReg
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Uses of Class
librec.rating.SocialMF

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+
No usage of librec.rating.SocialMF
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Uses of Class
librec.rating.TrustMF

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No usage of librec.rating.TrustMF
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Uses of Class
librec.rating.UserKNN

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+
No usage of librec.rating.UserKNN
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librec.rating

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Classes

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Package librec.rating

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Hierarchy For Package librec.rating

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Class Hierarchy

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Uses of Package
librec.rating

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All Classes
+
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Packages

+ +
+

 

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Packages 
PackageDescription
librec.baseline 
librec.data 
librec.ext 
librec.intf 
librec.main 
librec.ranking 
librec.rating 
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Hierarchy For All Packages

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Class Hierarchy

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Interface Hierarchy

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Enum Hierarchy

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