This repository contains a Book Recommender System that utilizes clustering algorithms and collaborative filtering techniques to recommend books based on users' preferences and similarities in book selection.
The Book Recommender System aims to provide personalized book recommendations to users by analyzing their preferences and matching them with other users who have similar tastes in books. The system employs a combination of clustering algorithms and collaborative filtering to generate accurate and relevant recommendations.
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Clustering Algorithm: The system utilizes a clustering algorithm to group users based on their book preferences. This helps in identifying users with similar tastes and interests.
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Collaborative Filtering: By applying collaborative filtering techniques, the recommender system identifies books liked by users with similar preferences and recommends those books to other users who share the same taste.
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Personalized Recommendations: The system provides personalized recommendations to each user based on their individual preferences and the preferences of similar users.
To use the Book Recommender System, follow these steps:
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Clone this repository to your local machine using
git clone azimAVI/Book-Recommendation-System
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Install the required dependencies listed in the
requirements.txt
file. -
Run the main application file
Book_Recommender_System.ipynb
to start the recommender system.
For more information on the project and to access the source code, please visit my GitHub profile.
Contributions to this project are welcome. If you encounter any issues or have suggestions for improvements, feel free to open an issue or submit a pull request.
- The clustering algorithm used in this project is based on scikit-learn, a popular machine learning library.
- Collaborative filtering techniques were implemented using Surprise, a Python scikit for building and analyzing recommender systems.
Feel free to explore the project and provide feedback. Happy reading and book recommendations!
For any questions or inquiries, please reach out to me