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It Recommends 5 top books which are similar to the book Provided as input. It is a collaborative filtering-based Singular Value decomposition model. it has around 1144, books and in the SVD dataframe, it uses cosine similarity to fetch the best matching books. The app has been developed using the flask framework and it is also deployed on azure app

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Book-Recommendation-System

This is a collaborative filtering Book Recommendation System.

The purpose of a book recommendation system is to predict buyer’s interest and recommend books to them accordingly. A book recommendation system can take into account many parameters like book content and book quality by filtering user reviews. In the section below, I will introduce you to a machine learning project on the book recommendation system using Python.

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It Recommends 5 top books which are similar to the book Provided as input. It is a collaborative filtering-based Singular Value decomposition model. it has around 1144, books and in the SVD dataframe, it uses cosine similarity to fetch the best matching books. The app has been developed using the flask framework and it is also deployed on azure app

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