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The "Book Recommender System" project aims to provide personalized book recommendations using advanced algorithms and user data. It enhances the reading experience by suggesting books that match users' preferences and interests.
The "Book Recommender System" project aims to provide personalized book recommendations using advanced algorithms and user data. It enhances the reading experience by suggesting books that match users' preferences and interests.
This repository contains the source code of book recommendation system using collaborative filtering. The system recommends the books based on the similarities between user profiles
Back End Coding for Final Project for "Implementation of Content-Based Filtering on Books Recommendation Application Using Vector Space Model <Case Studi: UMN Library>"
This repository contains collaborative filtering recommender system build in Python with surprise package to predict book ratings in Book-Crossing dataset.