Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩

This repository contains collaborative filtering recommender system build in Python with surprise package to predict book ratings in Book-Crossing dataset.

Content based recommender system for books using NLP.

This contains the code of Bharat Book Collection(a dummy book store for project) Back-end.

Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows

Book Recommendation Service

Movie-Book Cross-Domain Recommender System: Database based application that provides the user with recommendations of movies on the basis of the movies, books and genres explored and rated by him/her

machine learning using python & tensorflow

This project is a rest-api that recommend books for user

Various Recommender System models tested on different datasets

This is a Book Recommendation Suite that recommends a book based on the comments/reviews given by the other users, not number of stars, but textual understanding decides the "likability" of a particular book and then matching with the user's liking.

📚 NiceBook - Rekomendasi buku-buku paling penting. Mencakup hampir seluruh cabang keilmuan secara umum. Hasil filter dari ribuan buku lainnya.

Predicting new link, detecting communities on Amazon Product Co-Purchasing Network. Recommending books based on the underlying network related information. Demo Video Link -

A LIMS(library information management system) which recommends book using apriori algorithm.

Book Reviews App lets users register, log in, view book details, leave reviews, and manage profiles. Admins can approve reviews and control book content on the home page.

Uses Google Books API to create a list of top 10 similar books based on a user-inputted prompt

Bookipedia is a book recommendation project that utilizes neural network embeddings and Wikipedia links to generate personalized book recommendations.

Welcome to the "Book Recommender System" project! This collaborative recommender system uses the K-Nearest Neighbors (KNN) algorithm to recommend books based on user preferences. Explore new books you'll love!

Recommend books to the a user.