Project 2 - Book Recommendation System

Authors

• Elena Alegret Regalado
• Júlia Orteu Aubach
• Isabel Garcia De La Fuente
• Àlex Miquel Casanovas Cordero

Overview

This repository contains the second project for the SBC course. The project focuses on the implementation of a Case-Based Reasoning (CBR) system for book recommendations.

Project Structure

• REPORT.pdf: Project report in PDF format. It provides detailed documentation following the methodology phases: identification, conceptualization, formalization, implementation, and testing.

• Enunciat.pdf: Project statement.

• /Code: This directory houses the Python implementation code of the CBR system.

  • Functions.py: Python script containing custom functions used in the implementation.
  • cbr.py: Python script containing the CBR system implementation with 4 R.
  • recomanador_form.py: Contains the code of visualization of the interface and the user interaction.
  • /Notebooks_Implementation_and_Experimentation: Directory containing Jupyter notebooks with the implementation and experimentation of the system.
  • Decision_Tree.pkl: Pickle file containing the trained Decision Tree model.
  • decision_tree: Decision Tree model file.

• /Ontologia: This directory houses the Ontology Preprocessing.

  • /Preprocessing_Notebooks: Directory containing Jupyter notebooks for ontology preprocessing.
  • /Other_Dataframes: Directory containing additional dataframes related to the ontology and the original ontology CLIPS file.
  • /Experimentation_Dataframes: Directory containing the extended dataframes for the experimentation.
  • /Initial_Dataframes: Directory containing initial versions of dataframes for the initialization of the system.
  • Books.csv, Cases.csv, Users.csv: CSV files containing important ontology-related data.

• /Evaluació: Directory that stores Evaluation templates.

  • /Plantilles: Directory containing templates for evaluation in Catalan, Spanish, and English languages.
  • /Evaluacions: Directory containing real user evaluations.
  • proves_degradació.zip: This file contains the edited code to enable experimentation with system degradation.
  • Experimentació.ipynb: Jupyter notebook with testing for the space-time degradation experimentation of the system.

Additional Information

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• For detailed documentation, please refer to the REPORT.pdf.
• To run the system, it is mandatory to have the Streamlite library installed:
  • Download command: $ pip install streamlit
  • Execution of the code:
    1. Go into the /Code directory
    2. Command: $ streamlit run recomanador_form.py