Recommendation App for Books and Manga: MANGOLEAF
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Updated
Aug 7, 2024 - Python
Recommendation App for Books and Manga: MANGOLEAF
A Python-based hybrid book recommendation system that combines content-based and collaborative filtering techniques. Utilizes the Book-Crossing dataset for personalized recommendations.
A personalized movie recommendation system 🎥 powered by PySpark ⚡ using collaborative filtering 🤝 to deliver spot-on suggestions based on user behavior 📊. Built for scale. Made for binge-watchers. 🍿
Live web application demonstrating personalized recommendations for books and mangas implemented using collaborative filtering based recommender systems
A memory-based collaborative filtering system that predicts movie ratings using user–user and item–item similarity.
Product recommendation system is a Machine learning based project which can be used to proivde personalized recommendations.
Evaluations and Comparisons of Recommendation Systems Using The MovieLens Dataset
A minimal C++ implementation for user-based collaborative filtering on the MovieLens 10M dataset.
Movie recommender system using collaborative filtering and Flask web app.
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