A book recommendation system based on popularity, correlation, and collaborative filtering.
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Updated
Apr 17, 2023 - Jupyter Notebook
A book recommendation system based on popularity, correlation, and collaborative filtering.
Book recommender api written in flask framework
This is an end to end book recommendation system.
In this challenge I had to create a book recommendation algorithm using K-Nearest Neighbours. I used the Book-Crossings dataset, which contains 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.
Stuff of flask project
Used Nearest Neighbours to create a book recommendation model
Welcome to my Book-Recommender-System!
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Web application which shows Top 50 books of all time & recommends similar books if a book name is provided.
Backend server of FastAPI for recommendation feature
BOOKresource a place to get friends with books
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