Movie and Book recommendation systems

Book recommendation system through user-based collaborative filtering approach with Java, MySQL, JDBC, Book-Crossing dataset and ICEpdf library

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

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.

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

Recommend books to the a user.

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

Content based recommender system for books using NLP.

A Book Recommendation System based on Collaborative Filtering using Embedding layer to map the ratings given by similar users to the books.

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

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

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

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

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

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

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

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!