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+All Classes
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+
+
+
+
+
+Constant Field Values
+
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+
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+
+
+
+
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+
+Deprecated Constructors
+Constructor and Description
+
+
+
+librec.data.SparseMatrix(int, int, Table, boolean)
+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.
+
+
+
+
+
+
API Help
+
+JavaScript is disabled on your browser.
+
+
+
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+
+
+Overview
+The Overview page is the front page of this API document and provides a list of all packages with a summary for each. This page can also contain an overall description of the set of packages.
+
+
+Package
+Each package has a page that contains a list of its classes and interfaces, with a summary for each. This page can contain six categories:
+
+Interfaces (italic)
+Classes
+Enums
+Exceptions
+Errors
+Annotation Types
+
+
+
+Class/Interface
+Each class, interface, nested class and nested interface has its own separate page. Each of these pages has three sections consisting of a class/interface description, summary tables, and detailed member descriptions:
+
+Class inheritance diagram
+Direct Subclasses
+All Known Subinterfaces
+All Known Implementing Classes
+Class/interface declaration
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+
+
+Nested Class Summary
+Field Summary
+Constructor Summary
+Method Summary
+
+
+Field Detail
+Constructor Detail
+Method Detail
+
+Each summary entry contains the first sentence from the detailed description for that item. The summary entries are alphabetical, while the detailed descriptions are in the order they appear in the source code. This preserves the logical groupings established by the programmer.
+
+
+Annotation Type
+Each annotation type has its own separate page with the following sections:
+
+Annotation Type declaration
+Annotation Type description
+Required Element Summary
+Optional Element Summary
+Element Detail
+
+
+
+Enum
+Each enum has its own separate page with the following sections:
+
+Enum declaration
+Enum description
+Enum Constant Summary
+Enum Constant Detail
+
+
+
+Use
+Each documented package, class and interface has its own Use page. This page describes what packages, classes, methods, constructors and fields use any part of the given class or package. Given a class or interface A, its Use page includes subclasses of A, fields declared as A, methods that return A, and methods and constructors with parameters of type A. You can access this page by first going to the package, class or interface, then clicking on the "Use" link in the navigation bar.
+
+
+Tree (Class Hierarchy)
+There is a Class Hierarchy page for all packages, plus a hierarchy for each package. Each hierarchy page contains a list of classes and a list of interfaces. The classes are organized by inheritance structure starting with java.lang.Object. The interfaces do not inherit from java.lang.Object.
+
+When viewing the Overview page, clicking on "Tree" displays the hierarchy for all packages.
+When viewing a particular package, class or interface page, clicking "Tree" displays the hierarchy for only that package.
+
+
+
+Deprecated API
+The Deprecated API page lists all of the API that have been deprecated. A deprecated API is not recommended for use, generally due to improvements, and a replacement API is usually given. Deprecated APIs may be removed in future implementations.
+
+
+Index
+The Index contains an alphabetic list of all classes, interfaces, constructors, methods, and fields.
+
+
+Prev/Next
+These links take you to the next or previous class, interface, package, or related page.
+
+
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+These links show and hide the HTML frames. All pages are available with or without frames.
+
+
+All Classes
+The All Classes link shows all classes and interfaces except non-static nested types.
+
+
+Serialized Form
+Each serializable or externalizable class has a description of its serialization fields and methods. This information is of interest to re-implementors, not to developers using the API. While there is no link in the navigation bar, you can get to this information by going to any serialized class and clicking "Serialized Form" in the "See also" section of the class description.
+
+
+Constant Field Values
+The Constant Field Values page lists the static final fields and their values.
+
+
+
This help file applies to API documentation generated using the standard doclet. A-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
A
+
+add(int, int, double) DenseMatrix
+Add a value to entry [row, column]
+
+add(DenseMatrix) DenseMatrix
+Do A + B matrix operation
+
+add(SparseMatrix) DenseMatrix
+Do A + B matrix operation
+
+add(double) DenseMatrix
+Do A + c matrix operation, where c is a constant.
+
+add(int, double) DenseVector
+Add a value to entry [index]
+
+add(double) DenseVector
+add(DenseVector) DenseVector
+Do vector operation: a + b
+
+add(DiagMatrix) DiagMatrix
+add(double) DiagMatrix
+Each diagonal entry addes val
+
+add(int, int, double) SparseMatrix
+Add a value to entry [row, column]
+
+add(int, double) SparseVector
+Add a value to entry [idx]
+
+add(int, int, double) SymmMatrix
+add a value to entry (row, col)
+
+algoName Recommender
+Recommender-specific parameters
+
+AR librec.ext
+Choonho Kim and Juntae Kim, A Recommendation Algorithm Using
+ Multi-Level Association Rules , WI 2003.
+
+AR(SparseMatrix, SparseMatrix, int) AR
+
+
A B C D E G H I L M N O P R S T U V W M-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
M
+
+main(String[]) LibRec
+MatrixEntry librec.data
+An entry of a matrix.
+
+mean() DenseVector
+mean() SparseMatrix
+mean() SparseVector
+measures Recommender
+minus(DenseMatrix) DenseMatrix
+Do A + B matrix operation
+
+minus(SparseMatrix) DenseMatrix
+Do A + B matrix operation
+
+minus(double) DenseMatrix
+Do A + c matrix operation, where c is a constant.
+
+minus(int, double) DenseVector
+Substract a value from entry [index]
+
+minus(double) DenseVector
+minus(DenseVector) DenseVector
+Do vector operation: a - b
+
+minus(DiagMatrix) DiagMatrix
+minus(double) DiagMatrix
+Each diagonal entry abstracts val
+
+MostPopular librec.baseline
+Baseline: items are weighted by the number of ratings they received.
+
+MostPopular(SparseMatrix, SparseMatrix, int) MostPopular
+mult(DenseMatrix) DenseMatrix
+Matrix multiplication with a dense matrix
+
+mult(SparseMatrix) DenseMatrix
+Matrix multiplication with a sparse matrix
+
+mult(DenseVector) DenseMatrix
+Do matrix x vector between current matrix and a given vector
+
+mult(SparseVector) DenseMatrix
+mult(SparseMatrix, DenseMatrix) 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 N-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
N
+
+NMF librec.ext
+Daniel D.
+
+NMF(SparseMatrix, SparseMatrix, int) NMF
+norm() DenseMatrix
+numColumns() DenseMatrix
+numColumns() SparseMatrix
+numItems() DataDAO
+numRates() DataDAO
+numRows() DenseMatrix
+numRows() SparseMatrix
+numUsers() DataDAO
+
+
A B C D E G H I L M N O P R S T U V W O-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
O
+
+outer(DenseVector) 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 P-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
P
+
+paramIdx LibRec
+params Recommender
+PD librec.ext
+Pennock et al., Collaborative Filtering by Personality Diagnosis: A
+ Hybrid Memory- and Model-based Approach , UAI 2000.
+
+PD(SparseMatrix, SparseMatrix, int) PD
+PMF librec.rating
+Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix
+ Factorization , NIPS 2008.
+
+PMF(SparseMatrix, SparseMatrix, int) PMF
+PRankD librec.ext
+Neil Hurley, Personalised ranking with diversity , RecSys
+ 2013.
+
+PRankD(SparseMatrix, SparseMatrix, int) PRankD
+printDistr(boolean) DataDAO
+print out distributions of the dataset
+
+printSpecs() DataDAO
+print out specifications of the dataset
+
+product(DenseMatrix, int, DenseMatrix, int) 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 R-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
R
+
+RandomGuess librec.baseline
+Baseline: predict by a random value in (minRate, maxRate)
+
+RandomGuess(SparseMatrix, SparseMatrix, int) RandomGuess
+RankALS librec.ranking
+Takacs and Tikk, Alternating Least Squares for Personalized
+ Ranking , RecSys 2012.
+
+RankALS(SparseMatrix, SparseMatrix, int) RankALS
+RankSGD librec.ranking
+Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012
+ (KDD Cup 2011 Track 2).
+
+RankSGD(SparseMatrix, SparseMatrix, int) RankSGD
+rateDao Recommender
+rateMatrix Recommender
+readData() DataDAO
+Default relevant columns {0: user column, 1: item column, 2: rate
+ column}; otherwise try readData(int[] rels)
+
+readData(boolean) DataDAO
+readData(int[], boolean) DataDAO
+Read data from the data file
+
+readme() LibRec
+Print out software information
+
+Recommender librec.intf
+General recommenders
+
+Recommender(SparseMatrix, SparseMatrix, int) Recommender
+Constructor for Recommender
+
+Recommender.Measure librec.intf
+RegSVD librec.rating
+Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value
+ Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop,
+ 2007.
+
+RegSVD(SparseMatrix, SparseMatrix, int) RegSVD
+row(int) DenseMatrix
+row(int, boolean) DenseMatrix
+row() MatrixEntry
+Returns the current row index
+
+row(int) SparseMatrix
+get a row sparse vector of a matrix
+
+row(int, int) SparseMatrix
+get a row sparse vector of a matrix
+
+row(int) SymmMatrix
+Retrieve a complete row of similar items
+
+rowMult(DenseMatrix, int, DenseMatrix, int) DenseMatrix
+row x row of two matrix
+
+rows() SparseMatrix
+rowSize(int) SparseMatrix
+query the size of a specific row
+
+rowZeros(int) SparseMatrix
+get a list of entries (for a specific row) with values 0
+
+RSTE librec.rating
+Hao Ma, Irwin King and Michael R.
+
+RSTE(SparseMatrix, SparseMatrix, int) RSTE
+run() Recommender
+
+
A B C D E G H I L M N O P R S T U V W S-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
S
+
+scale(double) DenseMatrix
+scale(double) DenseVector
+scale(double) DiagMatrix
+set(int, int, double) DenseMatrix
+Set a value to entry [row, column]
+
+set(int, double) DenseVector
+Set a value to entry [index]
+
+set(double) MatrixEntry
+Sets the value at the current index
+
+set(int, int, double) SparseMatrix
+Set a value to entry [row, column]
+
+set(int, double) SparseVector
+Set a value to entry [idx]
+
+set(int, int, double) SymmMatrix
+set a value to entry (row, col)
+
+set(double) VectorEntry
+Sets the value at the current index
+
+setRow(int, double) DenseMatrix
+set one value to a specific row
+
+setRow(int, DenseVector) DenseMatrix
+set values of one dense vector to a specific row
+
+setSourcePath(String) DataConvertor
+setTargetPath(String) DataConvertor
+size() SparseMatrix
+size() SparseVector
+SlopeOne librec.ext
+Weighted Slope One: Lemire and Maclachlan, Slope One Predictors for
+ Online Rating-Based Collaborative Filtering , SDM 2005.
+
+SlopeOne(SparseMatrix, SparseMatrix, int) SlopeOne
+SocialMF librec.rating
+Jamali and Ester, A matrix factorization technique with trust
+ propagation for recommendation in social networks , RecSys 2010.
+
+SocialMF(SparseMatrix, SparseMatrix, int) SocialMF
+SocialRecommender librec.intf
+Recommenders in which social information is used
+
+SocialRecommender(SparseMatrix, SparseMatrix, int) SocialRecommender
+SoRec librec.rating
+Hao Ma, Haixuan Yang, Michael R.
+
+SoRec(SparseMatrix, SparseMatrix, int) SoRec
+SoReg librec.rating
+Hao Ma, Dengyong Zhou, Chao Liu, Michael R.
+
+SoReg(SparseMatrix, SparseMatrix, int) SoReg
+SparseMatrix librec.data
+
+
+SparseMatrix(int, int, Table<Integer, Integer, Double>, Multimap<Integer, Integer>) SparseMatrix
+Construct a sparse matrix with both CRS and CCS structures
+
+SparseMatrix(int, int, Table<Integer, Integer, Double>) SparseMatrix
+Construct a sparse matrix with only CRS structures
+
+SparseMatrix(int, int, Table<Integer, Integer, Double>, boolean) 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) SparseMatrix
+SparseMatrix(SparseMatrix, boolean) SparseMatrix
+Construct a sparse matrix from another sparse matrix
+
+SparseVector librec.data
+Data Structure: Sparse Vector whose implementation is modified from M4J
+ library
+
+SparseVector(int) SparseVector
+Construct a sparse vector with its maximum capacity
+
+SparseVector(int, double[]) SparseVector
+Construct a sparse vector with its maximum capacity, filled with given
+ data array
+
+SparseVector(SparseVector) SparseVector
+Construct a sparse vecto by deeply copying another vector
+
+sum() SparseMatrix
+sum() SparseVector
+SVDPlusPlus librec.rating
+Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted
+ Collaborative Filtering Model. , KDD 2008.
+
+SVDPlusPlus(SparseMatrix, SparseMatrix, int) SVDPlusPlus
+SymmMatrix librec.data
+Data Structure, Lower Symmetric Matrix
+
+SymmMatrix(int) SymmMatrix
+Construct a symmetric matrix
+
+SymmMatrix(SymmMatrix) 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 T-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
T
+
+toMap() SparseVector
+toString() DenseMatrix
+toString() SparseMatrix
+toString() SparseVector
+toString() SymmMatrix
+toString() Hybrid
+toString() NMF
+toString() PD
+toString() PRankD
+toString() IterativeRecommender
+toString() Recommender
+useful to print out specific recommender's settings
+
+toString() SocialRecommender
+toString() BPRMF
+toString() RankALS
+toString() RankSGD
+toString() WRMF
+toString() BPMF
+toString() ItemKNN
+toString() RSTE
+toString() UserKNN
+transpose() DenseMatrix
+transpose() SparseMatrix
+TrustMF librec.rating
+Yang et al., Social Collaborative Filtering by Trust , IJCAI
+ 2013.
+
+TrustMF(SparseMatrix, SparseMatrix, int) TrustMF
+
+
A B C D E G H I L M N O P R S T U V W U-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
U
+
+UserAverage librec.baseline
+Baseline: predict by the average of target user's ratings
+
+UserAverage(SparseMatrix, SparseMatrix, int) UserAverage
+UserKNN librec.rating
+User-based Nearest Neighbors
+
+UserKNN(SparseMatrix, SparseMatrix, int) UserKNN
+
+
A B C D E G H I L M N O P R S T U V W V-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
V
+
+valueOf(String) Recommender.Measure
+Returns the enum constant of this type with the specified name.
+
+values() Recommender.Measure
+Returns an array containing the constants of this enum type, in
+the order they are declared.
+
+VectorEntry 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 W-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
W
+
+writeArff(String, String) DataDAO
+Write rate matrix to a data file with format ".arff" which can be used by
+ the PREA toolkit
+
+writeData(String, String) DataDAO
+write the rate data to another data file given by the path toPath
+
+writeData(String) DataDAO
+Default sep=" " is adopted
+
+WRMF librec.ranking
+WRMF: Weighted Regularized Matrix Factorization.
+
+WRMF(SparseMatrix, SparseMatrix, int) WRMF
+
+
A B C D E G H I L M N O P R S T U V W B-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
B
+
+BiasedMF librec.rating
+Biased Matrix Factorization Models.
+
+BiasedMF(SparseMatrix, SparseMatrix, int) BiasedMF
+BPMF librec.rating
+Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization
+ using Markov Chain Monte Carlo , ICML 2008.
+
+BPMF(SparseMatrix, SparseMatrix, int) BPMF
+BPRMF librec.ranking
+Rendle et al., BPR: Bayesian Personalized Ranking from Implicit
+ Feedback , UAI 2009.
+
+BPRMF(SparseMatrix, SparseMatrix, int) BPRMF
+
+
A B C D E G H I L M N O P R S T U V W C-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
C
+
+cf Recommender
+Static parameters for all recommenders
+
+cholesky() DenseMatrix
+CLiMF librec.ranking
+Shi et al., Climf: learning to maximize reciprocal rank with
+ collaborative less-is-more filtering. , RecSys 2012.
+
+CLiMF(SparseMatrix, SparseMatrix, int) CLiMF
+clone() DenseMatrix
+Make a deep copy of current matrix
+
+clone() DenseVector
+Make a deep copy of current vector
+
+clone() DiagMatrix
+clone() SparseMatrix
+Make a deep clone of current matrix
+
+clone() SymmMatrix
+Make a deep copy of current matrix
+
+colMult(DenseMatrix, int, DenseMatrix, int) DenseMatrix
+column x column of two matrix
+
+column(int) DenseMatrix
+column() MatrixEntry
+Returns the current column index
+
+column(int) SparseMatrix
+get a col sparse vector of a matrix
+
+columnMean(int) DenseMatrix
+Compute mean of a column of the current matrix
+
+columns() SparseMatrix
+columnSize(int) SparseMatrix
+query the size of a specific col
+
+columnZeros(int) SparseMatrix
+get a list of entries (for a specific column) with values 0
+
+ConstantGuess librec.baseline
+Baseline: predict by a constant rating
+
+ConstantGuess(SparseMatrix, SparseMatrix, int) ConstantGuess
+contains(int) SparseVector
+Check if a vector contains a specific index
+
+cov() DenseMatrix
+cvtFirstLines(String, String) DataConvertor
+
+ Source File Format:UserID Sep #RatingsItemID Sep2 Rating
+
+cvtSeparator(String, String) 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 D-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
D
+
+DataConvertor 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) DataConvertor
+DataDAO librec.data
+A data access object (DAO) to a data file
+
+DataDAO(String, BiMap<String, Integer>, BiMap<String, Integer>) DataDAO
+Constructor for a data DAO object
+
+DataDAO(String) DataDAO
+Contructor for data DAO object
+
+DataDAO(String, BiMap<String, Integer>) DataDAO
+Contructor for data DAO object
+
+DataSplitter librec.data
+Class to split/sample rating matrix
+
+DataSplitter(SparseMatrix, int) DataSplitter
+Construct a data splitter to split a given matrix into kfolds
+
+DataSplitter(SparseMatrix) DataSplitter
+Construct a data splitter with data source of a given rate matrix
+
+DenseMatrix librec.data
+Data Structure: dense matrix
+
+DenseMatrix(int, int) DenseMatrix
+Construct a dense matrix with specified dimensions
+
+DenseMatrix(double[][]) DenseMatrix
+Construct a dense matrix by copying data from a given 2D array
+
+DenseMatrix(DenseMatrix) DenseMatrix
+Construct a dense matrix by copying data from a given matrix
+
+DenseVector librec.data
+Data Structure: dense vector
+
+DenseVector(int) DenseVector
+Construct a dense vector with a specific size
+
+DenseVector(double[]) DenseVector
+Construct a dense vector by deeply copying data from a given array
+
+DenseVector(double[], boolean) DenseVector
+Construct a dense vector by copying data from a given array
+
+DenseVector(DenseVector) DenseVector
+Construct a dense vector by deeply copying data from a given vector
+
+DiagMatrix librec.data
+Data Structure: Diagonal Matrix
+
+DiagMatrix(int, int, Table<Integer, Integer, Double>) DiagMatrix
+DiagMatrix(DiagMatrix) DiagMatrix
+
+
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+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
E
+
+execute() Recommender
+execution method of a recommender
+
+eye(int) DenseMatrix
+Construct an identity matrix
+
+eye(int) DiagMatrix
+
+
A B C D E G H I L M N O P R S T U V W G-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
G
+
+get(int, int) DenseMatrix
+Get the value at entry [row, column]
+
+get(int) DenseVector
+Get a value at entry [index]
+
+get() MatrixEntry
+Returns the value at the current index
+
+get(int, int) SparseMatrix
+Retrieve value at entry [row, column]
+
+get(int) SparseVector
+Retrieve a value at entry [idx]
+
+get(int, int) SymmMatrix
+Get a value at entry (row, col)
+
+get() VectorEntry
+Returns the value at the current index
+
+getColumnIndices() SparseMatrix
+getCount() SparseVector
+Number of entries in the sparse structure
+
+getData() DenseVector
+getData() SparseMatrix
+getData() SparseVector
+Returns the internal data
+
+getDataPath() DataDAO
+getDataView(String) DataSplitter
+getEvalInfo(Map<Recommender.Measure, Double>) Recommender
+getGiven(int) 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) 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() SparseVector
+Returns the indices
+
+getItemId(String) DataDAO
+getItemId(int) DataDAO
+getItemIds() DataDAO
+getKthFold(int) DataSplitter
+Return the k-th fold as test set (testMatrix), making all the others as
+ train set in rateMatrix.
+
+getRateMatrix() DataDAO
+getRatio(double) DataSplitter
+Split ratings into two parts: (1-ratio) training, (ratio) testing data
+
+getRowPointers() SparseMatrix
+getSample(int, int) DataSplitter
+generate a random sample of rate matrix with specified number of users
+ and items
+
+getScales() DataDAO
+getUserId(String) DataDAO
+getUserId(int) DataDAO
+getUserIds() DataDAO
+GlobalAverage librec.baseline
+Baseline: predict by average rating of all users
+
+GlobalAverage(SparseMatrix, SparseMatrix, int) GlobalAverage
+
+
A B C D E G H I L M N O P R S T U V W H-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
H
+
+Hybrid 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) Hybrid
+
+
A B C D E G H I L M N O P R S T U V W I-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
I
+
+index() VectorEntry
+Returns the current index
+
+init(double, double) 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) DenseMatrix
+initialize a dense matrix with small random values in (0, range)
+
+init() DenseMatrix
+initialize a dense matrix with small random values in (0, 1)
+
+init(double, double) DenseVector
+Initialize a dense vector with Gaussian values
+
+init() DenseVector
+Initialize a dense vector with Uniform values in (0, 1)
+
+inner(DenseVector) DenseVector
+Do vector operation: a^t * b
+
+inner(SparseVector) DenseVector
+Do vector operation: a^t * b
+
+inner(SparseVector) SparseVector
+inner(DenseVector) SparseVector
+inv() DenseMatrix
+NOTE: this implementation (adopted from PREA package) is slightly faster
+ than inverse, especailly when numRows is large.
+
+inverse() DenseMatrix
+Deprecated.
+
use inv instead which is slightly faster
+
+isItemAsUser() DataDAO
+isMultRun LibRec
+isRankingPred Recommender
+ItemAverage librec.baseline
+Baseline: predict by the average of target item's ratings
+
+ItemAverage(SparseMatrix, SparseMatrix, int) ItemAverage
+ItemKNN librec.rating
+Item-based Nearest Neighbors
+
+ItemKNN(SparseMatrix, SparseMatrix, int) ItemKNN
+IterativeRecommender librec.intf
+Recommenders using iterative learning techniques
+
+IterativeRecommender(SparseMatrix, SparseMatrix, int) IterativeRecommender
+iterator() SparseMatrix
+iterator() SparseVector
+
+
A B C D E G H I L M N O P R S T U V W L-Index
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+A B C D E G H I L M N O P R S T U V W
+
+
+
L
+
+LibRec librec.main
+Main Class of the LibRec Library
+
+LibRec() 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 Generated Documentation (Untitled)
+
+
+
+
+
+<![CDATA[
+<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>
+]]>
+
+
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+
+
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+ConstantGuess
+
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+Nested Class Summary
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+Field Summary
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+Constructor Summary
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+Method Summary
+
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+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
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+ GlobalAverage
+
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+
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+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
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+Constructor Detail
+
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+Detail:
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+
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+ ItemAverage
+
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+Nested Class Summary
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+
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+
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+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
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+Constructor Detail
+
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+Detail:
+Field |
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+
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+ MostPopular
+
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+
+
+Method Summary
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ RandomGuess
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+All Implemented Interfaces:
+java.lang.Runnable
+
+public class RandomGuess
+extends Recommender
+Baseline: predict by a random value in (minRate, maxRate)
+Author: guoguibing
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ UserAverage
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ Uses of Class librec.baseline.ConstantGuess
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+ConstantGuess
+Baseline: predict by a constant rating
+
+
+
+GlobalAverage
+Baseline: predict by average rating of all users
+
+
+
+ItemAverage
+Baseline: predict by the average of target item's ratings
+
+
+
+MostPopular
+Baseline: items are weighted by the number of ratings they received.
+
+
+
+RandomGuess
+Baseline: predict by a random value in (minRate, maxRate)
+
+
+
+UserAverage
+Baseline: predict by the average of target user's ratings
+
+
+
+
+
+
+
librec.baseline Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+java.lang.Object
+
+librec.intf.Recommender
+
+
+
+
Uses of Package librec.baseline
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.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
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+voidcvtFirstLines
+ Source File Format:UserID Sep #RatingsItemID Sep2 Rating
+
+
+voidcvtSeparator Convert a data file separated by sep to a data file separated by
+ toSep
+
+
+voidsetSourcePath
+
+voidsetTargetPath
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+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 filetoSep - separtor of the target fileThrows: java.lang.Exception
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
DataDAO
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+DataDAO Contructor for data DAO object
+
+
+DataDAO Contructor for data DAO object
+
+
+DataDAO Constructor for a data DAO object
+
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+java.lang.StringgetDataPath
+
+java.lang.StringgetItemId
+
+intgetItemId
+
+com.google.common.collect.BiMap<java.lang.String,java.lang.Integer>getItemIds
+
+SparseMatrix getRateMatrix
+
+java.util.List<java.lang.Double>getScales
+
+java.lang.StringgetUserId
+
+intgetUserId
+
+com.google.common.collect.BiMap<java.lang.String,java.lang.Integer>getUserIds
+
+booleanisItemAsUser
+
+intnumItems
+
+intnumRates
+
+intnumUsers
+
+voidprintDistr print out distributions of the dataset
+
+
+voidprintSpecs print out specifications of the dataset
+
+
+SparseMatrix readData Default relevant columns {0: user column, 1: item column, 2: rate
+ column}; otherwise try readData(int[] rels)
+
+
+SparseMatrix readData
+
+SparseMatrix readData Read data from the data file
+
+
+voidwriteArff Write rate matrix to a data file with format ".arff" which can be used by
+ the PREA toolkit
+
+
+voidwriteData Default sep=" " is adopted
+
+
+voidwriteData 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 fileuserIds - user: {raw id, inner id} mapitemIds - item: {raw id, inner id} map
+
+
+
+
+
+
+
+
+
+
+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(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 fileisCCSUsed - whether to store the CCS structures of the rating matrixReturns: 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 tosep - the sparator of the written data fileThrows: 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 datasettoPath - data file pathThrows: 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
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
DataSplitter
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.DataSplitter
+
+
+
+
+
+
+
+
+
+
+
+
+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 Type
+Method and Description
+
+
+SparseMatrix []getDataView
+
+SparseMatrix []getGiven 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 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 Return the k-th fold as test set (testMatrix), making all the others as
+ train set in rateMatrix.
+
+
+SparseMatrix []getRatio Split ratings into two parts: (1-ratio) training, (ratio) testing data
+
+
+voidgetSample 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 matrixkfold - number of folds to split
+
+
+
+
+
+
+
+
+
+
+
+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 userThrows: 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 userThrows: 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
+
+
+
+
+
+
+
+
+
+
+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}
+
+
+
+
+
+
DenseMatrix
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.DenseMatrix
+
+
+
+
+
+
+public class DenseMatrix
+extends java.lang.Object
+Data Structure: dense matrix
+Author: guoguibing
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+DenseMatrix DenseMatrix mat)Construct a dense matrix by copying data from a given matrix
+
+
+DenseMatrix Construct a dense matrix by copying data from a given 2D array
+
+
+DenseMatrix Construct a dense matrix with specified dimensions
+
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+DenseMatrix add DenseMatrix mat)Do A + B matrix operation
+
+
+DenseMatrix add Do A + c matrix operation, where c is a constant.
+
+
+voidadd Add a value to entry [row, column]
+
+
+DenseMatrix add SparseMatrix mat)Do A + B matrix operation
+
+
+DenseMatrix cholesky
+
+DenseMatrix clone Make a deep copy of current matrix
+
+
+static doublecolMult DenseMatrix m,
+ int mcol,
+ DenseMatrix n,
+ int ncol)column x column of two matrix
+
+
+DenseVector column
+
+doublecolumnMean Compute mean of a column of the current matrix
+
+
+DenseMatrix cov
+
+static DenseMatrix eye Construct an identity matrix
+
+
+doubleget Get the value at entry [row, column]
+
+
+voidinit initialize a dense matrix with small random values in (0, 1)
+
+
+voidinit initialize a dense matrix with small random values in (0, range)
+
+
+voidinit 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.
+
+
+DenseMatrix inv NOTE: this implementation (adopted from PREA package) is slightly faster
+ than inverse, especailly when numRows is large.
+
+
+DenseMatrix inverse Deprecated.
+
use inv instead which is slightly faster
+
+
+DenseMatrix minus DenseMatrix mat)Do A + B matrix operation
+
+
+DenseMatrix minus Do A + c matrix operation, where c is a constant.
+
+
+DenseMatrix minus SparseMatrix mat)Do A + B matrix operation
+
+
+DenseMatrix mult DenseMatrix mat)Matrix multiplication with a dense matrix
+
+
+DenseVector mult DenseVector vec)Do matrix x vector between current matrix and a given vector
+
+
+DenseMatrix mult SparseMatrix mat)Matrix multiplication with a sparse matrix
+
+
+static DenseMatrix mult SparseMatrix sm,
+ DenseMatrix dm)Matrix multiplication of a sparse matrix by a dense matrix
+
+
+DenseVector mult SparseVector vec)
+
+doublenorm
+
+intnumColumns
+
+intnumRows
+
+static doubleproduct DenseMatrix m,
+ int mrow,
+ DenseMatrix n,
+ int ncol)dot product of row x col between two matrices
+
+
+DenseVector row
+
+DenseVector row
+
+static doublerowMult DenseMatrix m,
+ int mrow,
+ DenseMatrix n,
+ int nrow)row x row of two matrix
+
+
+DenseMatrix scale
+
+voidset Set a value to entry [row, column]
+
+
+voidsetRow DenseVector vals)set values of one dense vector to a specific row
+
+
+voidsetRow set one value to a specific row
+
+
+java.lang.StringtoString
+
+DenseMatrix transpose
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+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.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+numRows
+public int numRows()
+Returns: number of rows
+
+
+
+
+
+
+numColumns
+public int numColumns()
+Returns: number of columns
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+norm
+public double norm()
+Returns: the matrix norm-2
+
+
+
+
+
+
+
+
+
+
+colMult
+public static double colMult(DenseMatrix m,
+ int mcol,
+ DenseMatrix n,
+ int ncol)
+column x column of two matrix
+Parameters: m - the first matrixmcol - column of the first matrixn - the second matrixncol - column of the second matrixReturns: 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 matrixmrow - row id of the first matrixn - the second matrixncol - column id of the second matrixReturns: dot product of row of the first matrix and column of the second
+ matrix
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+mult
+public static DenseMatrix mult(SparseMatrix sm,
+ DenseMatrix dm)
+Matrix multiplication of a sparse matrix by a dense matrix
+Parameters: sm - a sparse matrixdm - a dense matrixReturns: 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]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+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(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
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
DenseVector
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.DenseVector
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+DenseVector DenseVector vec)Construct a dense vector by deeply copying data from a given vector
+
+
+DenseVector Construct a dense vector by deeply copying data from a given array
+
+
+DenseVector Construct a dense vector by copying data from a given array
+
+
+DenseVector Construct a dense vector with a specific size
+
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+DenseVector add DenseVector vec)Do vector operation: a + b
+
+
+DenseVector add
+
+voidadd Add a value to entry [index]
+
+
+DenseVector clone Make a deep copy of current vector
+
+
+doubleget Get a value at entry [index]
+
+
+double[]getData
+
+voidinit Initialize a dense vector with Uniform values in (0, 1)
+
+
+voidinit 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
+
+DenseVector minus DenseVector vec)Do vector operation: a - b
+
+
+DenseVector minus
+
+voidminus Substract a value from entry [index]
+
+
+DenseMatrix outer DenseVector vec)Do vector operation: a * b^t
+
+
+DenseVector scale
+
+voidset 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(double[] array,
+ boolean deep)
+Construct a dense vector by copying data from a given array
+Parameters: array - a given data arraydeep - whether to deep copy array data
+
+
+
+
+
+
+
+
+
+
+
+
DiagMatrix
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+DiagMatrix DiagMatrix mat)
+
+DiagMatrix
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+Methods inherited from class librec.data.SparseMatrix
+add , column , columns , columnSize , columnZeros , get , getColumnIndices , getData , getRowPointers , iterator , mean , numColumns , numRows , row , row , rows , rowSize , rowZeros , set , size , sum , toString , transpose
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+DiagMatrix
+public DiagMatrix(int rows,
+ int cols,
+ com.google.common.collect.Table<java.lang.Integer,java.lang.Integer,java.lang.Double> dataTable)
+
+
+
+
+
+
+
+
+
+
+
+
+
MatrixEntry
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+Summary:
+Nested |
+Field |
+Constr |
+Method
+
+Detail:
+Field |
+Constr |
+Method
+
+
+
+
+
+
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+intcolumn Returns the current column index
+
+
+doubleget Returns the value at the current index
+
+
+introw Returns the current row index
+
+
+voidset Sets the value at the current index
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Summary:
+Nested |
+Field |
+Constr |
+Method
+
+Detail:
+Field |
+Constr |
+Method
+
+
+
+ SparseMatrix
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.SparseMatrix
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+SparseMatrix Construct a sparse matrix with only CRS structures
+
+
+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 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 Type
+Method and Description
+
+
+voidadd Add a value to entry [row, column]
+
+
+SparseMatrix clone Make a deep clone of current matrix
+
+
+SparseVector column get a col sparse vector of a matrix
+
+
+java.util.List<java.lang.Integer>columns
+
+intcolumnSize query the size of a specific col
+
+
+java.util.List<java.lang.Integer>columnZeros get a list of entries (for a specific column) with values 0
+
+
+doubleget Retrieve value at entry [row, column]
+
+
+int[]getColumnIndices
+
+double[]getData
+
+int[]getRowPointers
+
+java.util.Iterator<MatrixEntry >iterator
+
+doublemean
+
+intnumColumns
+
+intnumRows
+
+SparseVector row get a row sparse vector of a matrix
+
+
+SparseVector row get a row sparse vector of a matrix
+
+
+java.util.List<java.lang.Integer>rows
+
+introwSize query the size of a specific row
+
+
+java.util.List<java.lang.Integer>rowZeros get a list of entries (for a specific row) with values 0
+
+
+voidset Set a value to entry [row, column]
+
+
+intsize
+
+doublesum
+
+java.lang.StringtoString
+
+SparseMatrix transpose
+
+
+
+
+
+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,
+ boolean deap)
+Construct a sparse matrix from another sparse matrix
+Parameters: mat - the original sparse matrixdeap - whether to copy the CCS structures
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+set
+public void set(int row,
+ int column,
+ double val)
+Set a value to entry [row, column]
+Parameters: row - row idcolumn - column idval - value to set
+
+
+
+
+
+
+add
+public void add(int row,
+ int column,
+ double val)
+Add a value to entry [row, column]
+Parameters: row - row idcolumn - column idval - value to add
+
+
+
+
+
+
+get
+public double get(int row,
+ int column)
+Retrieve value at entry [row, column]
+Parameters: row - row idcolumn - column idReturns: value at entry [row, column]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+sum
+public double sum()
+Returns: sum of matrix data
+
+
+
+
+
+
+mean
+public double mean()
+Returns: mean of matrix data
+
+
+
+
+
+
+
+
+
+
+
+
+
+
SparseVector
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.SparseVector
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+SparseVector Construct a sparse vector with its maximum capacity
+
+
+SparseVector 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 Type
+Method and Description
+
+
+voidadd Add a value to entry [idx]
+
+
+booleancontains Check if a vector contains a specific index
+
+
+doubleget 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 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,
+ double[] array)
+Construct a sparse vector with its maximum capacity, filled with given
+ data array
+Parameters: capcity - maximum size of the sparse vectorarray - input data
+
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+getIndex
+public int[] getIndex()
+Returns the indices
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
SymmMatrix
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.data.SymmMatrix
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+SymmMatrix Construct a symmetric matrix
+
+
+SymmMatrix SymmMatrix mat)Construct a symmetric matrix by deeply copying data from a given matrix
+
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+voidadd add a value to entry (row, col)
+
+
+SymmMatrix clone Make a deep copy of current matrix
+
+
+doubleget Get a value at entry (row, col)
+
+
+SparseVector row Retrieve a complete row of similar items
+
+
+voidset 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
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
+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)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
VectorEntry
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+Summary:
+Nested |
+Field |
+Constr |
+Method
+
+Detail:
+Field |
+Constr |
+Method
+
+
+
+
+
+
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+doubleget Returns the value at the current index
+
+
+intindex Returns the current index
+
+
+voidset Sets the value at the current index
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Summary:
+Nested |
+Field |
+Constr |
+Method
+
+Detail:
+Field |
+Constr |
+Method
+
+
+
+ Uses of Class librec.data.DataConvertor
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
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--- /dev/null
+++ b/librec/doc/librec-v1.1/librec/data/class-use/DenseMatrix.html
@@ -0,0 +1,329 @@
+
+
+
+
+
+Uses of Class librec.data.DenseMatrix
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Methods in librec.data with parameters of type DenseMatrix
+Modifier and Type
+Method and Description
+
+
+
+DenseMatrix DenseMatrix. add DenseMatrix mat)Do A + B matrix operation
+
+
+static doubleDenseMatrix. colMult DenseMatrix m,
+ int mcol,
+ DenseMatrix n,
+ int ncol)column x column of two matrix
+
+
+DenseMatrix DenseMatrix. minus DenseMatrix mat)Do A + B matrix operation
+
+
+DenseMatrix DenseMatrix. mult DenseMatrix mat)Matrix multiplication with a dense matrix
+
+
+static DenseMatrix DenseMatrix. mult SparseMatrix sm,
+ DenseMatrix dm)Matrix multiplication of a sparse matrix by a dense matrix
+
+
+static doubleDenseMatrix. product DenseMatrix m,
+ int mrow,
+ DenseMatrix n,
+ int ncol)dot product of row x col between two matrices
+
+
+static doubleDenseMatrix. rowMult DenseMatrix m,
+ int mrow,
+ DenseMatrix n,
+ int nrow)row x row of two matrix
+
+
+
+
+
+
+
+
Uses of Class librec.data.DenseVector
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructors in librec.baseline with parameters of type SparseMatrix
+Constructor and Description
+
+
+
+ConstantGuess SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+GlobalAverage SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+ItemAverage SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+MostPopular SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+RandomGuess SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+UserAverage SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+
+
+
+
+
+
+
+Methods in librec.data that return SparseMatrix
+Modifier and Type
+Method and Description
+
+
+
+SparseMatrix SparseMatrix. clone Make a deep clone of current matrix
+
+
+SparseMatrix []DataSplitter. getDataView
+
+SparseMatrix []DataSplitter. getGiven 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 []DataSplitter. getGiven 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 []DataSplitter. getKthFold Return the k-th fold as test set (testMatrix), making all the others as
+ train set in rateMatrix.
+
+
+SparseMatrix DataDAO. getRateMatrix
+
+SparseMatrix []DataSplitter. getRatio Split ratings into two parts: (1-ratio) training, (ratio) testing data
+
+
+SparseMatrix DataDAO. readData Default relevant columns {0: user column, 1: item column, 2: rate
+ column}; otherwise try readData(int[] rels)
+
+
+SparseMatrix DataDAO. readData
+
+SparseMatrix DataDAO. readData Read data from the data file
+
+
+SparseMatrix SparseMatrix. transpose
+
+
+
+
+
+
+
+
+
+Constructors in librec.ext with parameters of type SparseMatrix
+Constructor and Description
+
+
+
+AR SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+Hybrid SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+NMF SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+PD SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+PRankD SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+SlopeOne SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructors in librec.ranking with parameters of type SparseMatrix
+Constructor and Description
+
+
+
+BPRMF SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+CLiMF SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+RankALS SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+RankSGD SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+WRMF SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+
+
+
+
+
+
+Constructors in librec.rating with parameters of type SparseMatrix
+Constructor and Description
+
+
+
+BiasedMF SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+BPMF SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+ItemKNN SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+PMF SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+RegSVD SparseMatrix rm,
+ SparseMatrix tm,
+ int fold)
+
+RSTE SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+SocialMF SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+SoRec SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+SoReg SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+SVDPlusPlus SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+TrustMF SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+UserKNN SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+
+
+
+
+
+
Uses of Class librec.data.SparseVector
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Methods in librec.data that return SparseVector
+Modifier and Type
+Method and Description
+
+
+
+SparseVector SparseMatrix. column get a col sparse vector of a matrix
+
+
+SparseVector SymmMatrix. row Retrieve a complete row of similar items
+
+
+SparseVector SparseMatrix. row get a row sparse vector of a matrix
+
+
+SparseVector SparseMatrix. row get a row sparse vector of a matrix
+
+
+
+
+
+
+
+
+
Uses of Class librec.data.SymmMatrix
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructors in librec.data with parameters of type SymmMatrix
+Constructor and Description
+
+
+
+SymmMatrix SymmMatrix mat)Construct a symmetric matrix by deeply copying data from a given matrix
+
+
+
+
+
+
+
Uses of Interface librec.data.VectorEntry
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+
Interfaces
+
+
Classes
+
+
librec.data
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+Interface Summary
+Interface
+Description
+
+
+
+MatrixEntry
+An entry of a matrix.
+
+
+
+VectorEntry
+An entry of a vector.
+
+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+DataConvertor
+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,"
+
+
+
+DataDAO
+A data access object (DAO) to a data file
+
+
+
+DataSplitter
+Class to split/sample rating matrix
+
+
+
+DenseMatrix
+Data Structure: dense matrix
+
+
+
+DenseVector
+Data Structure: dense vector
+
+
+
+DiagMatrix
+Data Structure: Diagonal Matrix
+
+
+
+SparseMatrix
+
+
+
+
+SparseVector
+Data Structure: Sparse Vector whose implementation is modified from M4J
+ library
+
+
+
+SymmMatrix
+Data Structure, Lower Symmetric Matrix
+
+
+
+
+
+
+
librec.data Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+
Interface Hierarchy
+
+
Uses of Package librec.data
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Classes in librec.data used by librec.data
+Class and Description
+
+
+
+DenseMatrix
+Data Structure: dense matrix
+
+
+DenseVector
+Data Structure: dense vector
+
+
+DiagMatrix
+Data Structure: Diagonal Matrix
+
+
+MatrixEntry
+An entry of a matrix.
+
+
+SparseMatrix
+
+
+
+SparseVector
+Data Structure: Sparse Vector whose implementation is modified from M4J
+ library
+
+
+SymmMatrix
+Data Structure, Lower Symmetric Matrix
+
+
+VectorEntry
+An entry of a vector.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
AR
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ Hybrid
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
NMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
PD
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
PRankD
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
SlopeOne
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ Uses of Class librec.ext.AR
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+AR
+Choonho Kim and Juntae Kim, A Recommendation Algorithm Using
+ Multi-Level Association Rules , WI 2003.
+
+
+
+Hybrid
+Zhou et al., Solving the apparent diversity-accuracy dilemma of
+ recommender systems , Proceedings of the National Academy of
+ Sciences, 2010.
+
+
+
+NMF
+Daniel D.
+
+
+
+PD
+Pennock et al., Collaborative Filtering by Personality Diagnosis: A
+ Hybrid Memory- and Model-based Approach , UAI 2000.
+
+
+
+PRankD
+Neil Hurley, Personalised ranking with diversity , RecSys
+ 2013.
+
+
+
+SlopeOne
+Weighted Slope One: Lemire and Maclachlan, Slope One Predictors for
+ Online Rating-Based Collaborative Filtering , SDM 2005.
+
+
+
+
+
+
+
librec.ext Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+java.lang.Object
+
+librec.intf.Recommender
+
+
+
+
Uses of Package librec.ext
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
Recommender.Measure
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Enum Constant Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+static Recommender.Measure valueOf 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
+
+
+
+
+
+
+
+
+
+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 namejava.lang.NullPointerException - if the argument is null
+
+
+
+
+
+
Recommender
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+librec.intf.Recommender
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+Nested Classes
+Modifier and Type
+Class and Description
+
+
+static class Recommender.Measure
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+voidexecute execution method of a recommender
+
+
+static java.lang.StringgetEvalInfo 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
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+Recommender
+public Recommender(SparseMatrix trainMatrix,
+ SparseMatrix testMatrix,
+ int fold)
+Constructor for Recommender
+Parameters: trainMatrix - train matrixtestMatrix - test matrix
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+run
+public void run()
+
+Specified by: run in interface java.lang.Runnable
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
SocialRecommender
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
Uses of Class librec.intf.IterativeRecommender
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of IterativeRecommender in librec.ext
+Modifier and Type
+Class and Description
+
+
+
+class NMF Daniel D.
+
+
+class PRankD Neil Hurley, Personalised ranking with diversity , RecSys
+ 2013.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of IterativeRecommender in librec.ranking
+Modifier and Type
+Class and Description
+
+
+
+class BPRMF Rendle et al., BPR: Bayesian Personalized Ranking from Implicit
+ Feedback , UAI 2009.
+
+
+class CLiMF Shi et al., Climf: learning to maximize reciprocal rank with
+ collaborative less-is-more filtering. , RecSys 2012.
+
+
+class RankALS Takacs and Tikk, Alternating Least Squares for Personalized
+ Ranking , RecSys 2012.
+
+
+class RankSGD Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012
+ (KDD Cup 2011 Track 2).
+
+
+class WRMF WRMF: Weighted Regularized Matrix Factorization.
+
+
+
+
+
+
+
+
+Subclasses of IterativeRecommender in librec.rating
+Modifier and Type
+Class and Description
+
+
+
+class BiasedMF Biased Matrix Factorization Models.
+
+
+class BPMF Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization
+ using Markov Chain Monte Carlo , ICML 2008.
+
+
+class PMF Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix
+ Factorization , NIPS 2008.
+
+
+class RegSVD Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value
+ Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop,
+ 2007.
+
+
+class RSTE Hao Ma, Irwin King and Michael R.
+
+
+class SocialMF Jamali and Ester, A matrix factorization technique with trust
+ propagation for recommendation in social networks , RecSys 2010.
+
+
+class SoRec Hao Ma, Haixuan Yang, Michael R.
+
+
+class SoReg Hao Ma, Dengyong Zhou, Chao Liu, Michael R.
+
+
+class SVDPlusPlus Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted
+ Collaborative Filtering Model. , KDD 2008.
+
+
+class TrustMF Yang et al., Social Collaborative Filtering by Trust , IJCAI
+ 2013.
+
+
+
+
+
+
+
Uses of Class librec.intf.Recommender.Measure
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Methods in librec.intf that return Recommender.Measure
+Modifier and Type
+Method and Description
+
+
+
+static Recommender.Measure Recommender.Measure. valueOf Returns the enum constant of this type with the specified name.
+
+
+static Recommender.Measure []Recommender.Measure. values Returns an array containing the constants of this enum type, in
+the order they are declared.
+
+
+
+
+
+
+
+
Uses of Class librec.intf.Recommender
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of Recommender in librec.baseline
+Modifier and Type
+Class and Description
+
+
+
+class ConstantGuess Baseline: predict by a constant rating
+
+
+class GlobalAverage Baseline: predict by average rating of all users
+
+
+class ItemAverage Baseline: predict by the average of target item's ratings
+
+
+class MostPopular Baseline: items are weighted by the number of ratings they received.
+
+
+class RandomGuess Baseline: predict by a random value in (minRate, maxRate)
+
+
+class UserAverage Baseline: predict by the average of target user's ratings
+
+
+
+
+
+
+
+
+Subclasses of Recommender in librec.ext
+Modifier and Type
+Class and Description
+
+
+
+class AR Choonho Kim and Juntae Kim, A Recommendation Algorithm Using
+ Multi-Level Association Rules , WI 2003.
+
+
+class Hybrid Zhou et al., Solving the apparent diversity-accuracy dilemma of
+ recommender systems , Proceedings of the National Academy of
+ Sciences, 2010.
+
+
+class NMF Daniel D.
+
+
+class PD Pennock et al., Collaborative Filtering by Personality Diagnosis: A
+ Hybrid Memory- and Model-based Approach , UAI 2000.
+
+
+class PRankD Neil Hurley, Personalised ranking with diversity , RecSys
+ 2013.
+
+
+class SlopeOne Weighted Slope One: Lemire and Maclachlan, Slope One Predictors for
+ Online Rating-Based Collaborative Filtering , SDM 2005.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of Recommender in librec.ranking
+Modifier and Type
+Class and Description
+
+
+
+class BPRMF Rendle et al., BPR: Bayesian Personalized Ranking from Implicit
+ Feedback , UAI 2009.
+
+
+class CLiMF Shi et al., Climf: learning to maximize reciprocal rank with
+ collaborative less-is-more filtering. , RecSys 2012.
+
+
+class RankALS Takacs and Tikk, Alternating Least Squares for Personalized
+ Ranking , RecSys 2012.
+
+
+class RankSGD Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012
+ (KDD Cup 2011 Track 2).
+
+
+class WRMF WRMF: Weighted Regularized Matrix Factorization.
+
+
+
+
+
+
+
+
+Subclasses of Recommender in librec.rating
+Modifier and Type
+Class and Description
+
+
+
+class BiasedMF Biased Matrix Factorization Models.
+
+
+class BPMF Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization
+ using Markov Chain Monte Carlo , ICML 2008.
+
+
+class ItemKNN Item-based Nearest Neighbors
+
+
+class PMF Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix
+ Factorization , NIPS 2008.
+
+
+class RegSVD Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value
+ Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop,
+ 2007.
+
+
+class RSTE Hao Ma, Irwin King and Michael R.
+
+
+class SocialMF Jamali and Ester, A matrix factorization technique with trust
+ propagation for recommendation in social networks , RecSys 2010.
+
+
+class SoRec Hao Ma, Haixuan Yang, Michael R.
+
+
+class SoReg Hao Ma, Dengyong Zhou, Chao Liu, Michael R.
+
+
+class SVDPlusPlus Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted
+ Collaborative Filtering Model. , KDD 2008.
+
+
+class TrustMF Yang et al., Social Collaborative Filtering by Trust , IJCAI
+ 2013.
+
+
+class UserKNN User-based Nearest Neighbors
+
+
+
+
+
+
+
Uses of Class librec.intf.SocialRecommender
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of SocialRecommender in librec.rating
+Modifier and Type
+Class and Description
+
+
+
+class RSTE Hao Ma, Irwin King and Michael R.
+
+
+class SocialMF Jamali and Ester, A matrix factorization technique with trust
+ propagation for recommendation in social networks , RecSys 2010.
+
+
+class SoRec Hao Ma, Haixuan Yang, Michael R.
+
+
+class SoReg Hao Ma, Dengyong Zhou, Chao Liu, Michael R.
+
+
+class TrustMF Yang et al., Social Collaborative Filtering by Trust , IJCAI
+ 2013.
+
+
+
+
+
+
+
librec.intf
+librec.intf
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+IterativeRecommender
+Recommenders using iterative learning techniques
+
+
+
+Recommender
+General recommenders
+
+
+
+SocialRecommender
+Recommenders in which social information is used
+
+
+
+
+
+
+
+
+
+
librec.intf Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+java.lang.Object
+
+librec.intf.Recommender
+
+
+
+
Enum Hierarchy
+
+java.lang.Object
+
+java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
+
+
+
+
+
+
Uses of Package librec.intf
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+Prev Class
+Next Class
+
+
+
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+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Field Summary
+
+Fields
+Modifier and Type
+Field and Description
+
+
+static booleanisMultRun
+
+static intparamIdx
+
+
+
+
+
+
+
+Constructor Summary
+
+Constructors
+Constructor and Description
+
+
+LibRec
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+static voidmain
+
+static java.lang.Stringreadme Print out software information
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+LibRec
+public LibRec()
+
+
+
+
+
+
+
+
+
+
+Prev Class
+Next Class
+
+
+
+
+
+
+
+
+
+ Uses of Class librec.main.LibRec
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+LibRec
+Main Class of the LibRec Library
+
+
+
+
+
+
+
librec.main Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
CLiMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ RankALS
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+All Implemented Interfaces:
+java.lang.Runnable
+
+public class RankALS
+extends IterativeRecommender
+Takacs and Tikk, Alternating Least Squares for Personalized
+ Ranking , RecSys 2012.
+Author: guoguibing
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
RankSGD
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
WRMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
Uses of Class librec.ranking.BPRMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
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--- /dev/null
+++ b/librec/doc/librec-v1.1/librec/ranking/class-use/RankALS.html
@@ -0,0 +1,115 @@
+
+
+
+
+
+Uses of Class librec.ranking.RankALS
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
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--- /dev/null
+++ b/librec/doc/librec-v1.1/librec/ranking/class-use/RankSGD.html
@@ -0,0 +1,158 @@
+
+
+
+
+
+Uses of Class librec.ranking.RankSGD
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of RankSGD in librec.ext
+Modifier and Type
+Class and Description
+
+
+
+class PRankD Neil Hurley, Personalised ranking with diversity , RecSys
+ 2013.
+
+
+
+
+
+
+
Uses of Class librec.ranking.WRMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+BPRMF
+Rendle et al., BPR: Bayesian Personalized Ranking from Implicit
+ Feedback , UAI 2009.
+
+
+
+CLiMF
+Shi et al., Climf: learning to maximize reciprocal rank with
+ collaborative less-is-more filtering. , RecSys 2012.
+
+
+
+RankALS
+Takacs and Tikk, Alternating Least Squares for Personalized
+ Ranking , RecSys 2012.
+
+
+
+RankSGD
+Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012
+ (KDD Cup 2011 Track 2).
+
+
+
+WRMF
+WRMF: Weighted Regularized Matrix Factorization.
+
+
+
+
+
+
+
librec.ranking Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+java.lang.Object
+
+librec.intf.Recommender
+
+
+
+
Uses of Package librec.ranking
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Classes in librec.ranking used by librec.ext
+Class and Description
+
+
+
+RankSGD
+Jahrer and Toscher, Collaborative Filtering Ensemble for Ranking, JMLR, 2012
+ (KDD Cup 2011 Track 2).
+
+
+
+
+
BPMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
BiasedMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+All Implemented Interfaces:
+java.lang.Runnable
+
+
+Direct Known Subclasses:
+SVDPlusPlus
+public class BiasedMF
+extends IterativeRecommender
+Biased Matrix Factorization Models.
+Author: guoguibing
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ ItemKNN
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
PMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+All Implemented Interfaces:
+java.lang.Runnable
+
+public class PMF
+extends IterativeRecommender
+Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix
+ Factorization , NIPS 2008.
+Author: guoguibing
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ RSTE
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
RegSVD
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ SVDPlusPlus
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ SoRec
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ SoReg
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ SocialMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+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
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ TrustMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+All Implemented Interfaces:
+java.lang.Runnable
+
+public class TrustMF
+extends SocialRecommender
+Yang et al., Social Collaborative Filtering by Trust , IJCAI
+ 2013.
+Author: guoguibing
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+
+
+
+
+
+Methods inherited from class java.lang.Object
+equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Detail:
+Field |
+Constr | Method
+
+
+
+
+ UserKNN
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+java.lang.Object
+
+
+
+
+
+
+
+
+
+
+
+
+
+Nested Class Summary
+
+
+
+
+
+
+
+Field Summary
+
+
+
+
+
+
+
+Constructor Summary
+
+
+
+
+
+
+
+Method Summary
+
+Methods
+Modifier and Type
+Method and Description
+
+
+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
+
+
+
+
+
+
+
+
+
+
+
+
+Constructor Detail
+
+
+
+
+
+
+
+
+
+
+Method Detail
+
+
+
+
+
+
+
+
+
Uses of Class librec.rating.BPMF
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Subclasses of BiasedMF in librec.rating
+Modifier and Type
+Class and Description
+
+
+
+class SVDPlusPlus Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted
+ Collaborative Filtering Model. , KDD 2008.
+
+
+
+
+
+
+
Uses of Class librec.rating.ItemKNN
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+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
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+No usage of librec.rating.RegSVD
+
+
+
+
+
+
diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/SVDPlusPlus.html b/librec/doc/librec-v1.1/librec/rating/class-use/SVDPlusPlus.html
new file mode 100644
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+Uses of Class librec.rating.SVDPlusPlus
+
+JavaScript is disabled on your browser.
+
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+No usage of librec.rating.SVDPlusPlus
+
+
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diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/SoRec.html b/librec/doc/librec-v1.1/librec/rating/class-use/SoRec.html
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+Uses of Class librec.rating.SoRec
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+JavaScript is disabled on your browser.
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+No usage of librec.rating.SoRec
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diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/SoReg.html b/librec/doc/librec-v1.1/librec/rating/class-use/SoReg.html
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+
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+Uses of Class librec.rating.SoReg
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+JavaScript is disabled on your browser.
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+No usage of librec.rating.SoReg
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diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/SocialMF.html b/librec/doc/librec-v1.1/librec/rating/class-use/SocialMF.html
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+Uses of Class librec.rating.SocialMF
+
+JavaScript is disabled on your browser.
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+No usage of librec.rating.SocialMF
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diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/TrustMF.html b/librec/doc/librec-v1.1/librec/rating/class-use/TrustMF.html
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+Uses of Class librec.rating.TrustMF
+
+JavaScript is disabled on your browser.
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+No usage of librec.rating.TrustMF
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diff --git a/librec/doc/librec-v1.1/librec/rating/class-use/UserKNN.html b/librec/doc/librec-v1.1/librec/rating/class-use/UserKNN.html
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+
+
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+Uses of Class librec.rating.UserKNN
+
+JavaScript is disabled on your browser.
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+No usage of librec.rating.UserKNN
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diff --git a/librec/doc/librec-v1.1/librec/rating/package-frame.html b/librec/doc/librec-v1.1/librec/rating/package-frame.html
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+
+
+
+
+
+librec.rating
+librec.rating
+
+JavaScript is disabled on your browser.
+
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+
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+
+
+
+
+
+
+Class Summary
+Class
+Description
+
+
+
+BiasedMF
+Biased Matrix Factorization Models.
+
+
+
+BPMF
+Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization
+ using Markov Chain Monte Carlo , ICML 2008.
+
+
+
+ItemKNN
+Item-based Nearest Neighbors
+
+
+
+PMF
+Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix
+ Factorization , NIPS 2008.
+
+
+
+RegSVD
+Regularized SVD: Arkadiusz Paterek, Improving Regularized Singular Value
+ Decomposition Collaborative Filtering, Proceedings of KDD Cup and Workshop,
+ 2007.
+
+
+
+RSTE
+Hao Ma, Irwin King and Michael R.
+
+
+
+SocialMF
+Jamali and Ester, A matrix factorization technique with trust
+ propagation for recommendation in social networks , RecSys 2010.
+
+
+
+SoRec
+Hao Ma, Haixuan Yang, Michael R.
+
+
+
+SoReg
+Hao Ma, Dengyong Zhou, Chao Liu, Michael R.
+
+
+
+SVDPlusPlus
+Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted
+ Collaborative Filtering Model. , KDD 2008.
+
+
+
+TrustMF
+Yang et al., Social Collaborative Filtering by Trust , IJCAI
+ 2013.
+
+
+
+UserKNN
+User-based Nearest Neighbors
+
+
+
+
+
+
+
librec.rating Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+java.lang.Object
+
+librec.intf.Recommender
+
+
+
+
Uses of Package librec.rating
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/librec/doc/librec-v1.1/overview-frame.html b/librec/doc/librec-v1.1/overview-frame.html
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+++ b/librec/doc/librec-v1.1/overview-frame.html
@@ -0,0 +1,26 @@
+
+
+
+
+
+Overview List
+
+
+
diff --git a/librec/doc/librec-v1.1/overview-summary.html b/librec/doc/librec-v1.1/overview-summary.html
new file mode 100644
index 000000000..d769fbcf9
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+
+
+
+
+
+Overview
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/librec/doc/librec-v1.1/overview-tree.html b/librec/doc/librec-v1.1/overview-tree.html
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+
+
+
+
+
+Class Hierarchy
+
+JavaScript is disabled on your browser.
+
+
+
+
+
+
+
+
Class Hierarchy
+
+
Interface Hierarchy
+
+
Enum Hierarchy
+
+java.lang.Object
+
+java.lang.Enum<E> (implements java.lang.Comparable<T>, java.io.Serializable)
+
+
+
+
+
+