[Code Addition Request]: Add book recommandations system based on user preferences, ratings, and reviews

[SimranShaikh20]

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All are completed !

Project Description

Objective
The primary objective of this project is to develop a book recommendation system that effectively suggests books to users based on their preferences and ratings. By utilizing machine learning techniques, the system aims to enhance user engagement and satisfaction in the book industry.

Describe the solution you'd like
Methods Used

Descriptive Statistics: Analyzing the data to understand user behavior and book popularity.
Data Visualization: Utilizing visual tools to represent data distributions and relationships, helping to identify trends and patterns.

Machine Learning: Implementing algorithms to generate recommendations, including:
Collaborative Filtering (both memory-based and model-based)
Content-Based Filtering
Hybrid Models combining both approaches for improved accuracy.

Modeling Techniques

Collaborative Filtering:
Model-Based Approach: The SVD (Singular Value Decomposition) technique was implemented for collaborative filtering. It outperformed the NMF (Non-negative Matrix Factorization) method, yielding a lower Mean Absolute Error (MAE), indicating better predictive accuracy.

Memory-Based Approach:
Among the memory-based methods, item collaborative filtering demonstrated superior performance compared to user-user collaborative filtering. This was attributed to its lower computational complexity and more effective handling of sparse data.

Implement using skleran, knn

Additional context
@UTSAVS26 once you assign me i will work on it !

Full Name

Shaikh Simran

Participant Role

GSSOC '24 extd

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