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Content-Based Movie Recommendations System using Machine Learning

ShinyApps application of a movie recommendation system

A data science system that recommends movies to users based on ratings, genres, and watch history using machine learning techniques.

Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you

No description available from source.

Recommender Systems are the systems designed to that are designed to recommend things to the user based on many different factors. These systems predict the most likely product that the users are most likely to purchase and are of interest to. Recommendations typically speed up searches and make ... Read more

Movie recommendation system in python that uses uses the lightfm recommender system library.

This is a movie recommendation system with tensorflow. Dataset is MovieLens.

A general movie recommending system involving python, numpy, sklearn, pandas. Applied feature-based modeling, content-based filtering, collaborative filtering and clustering method. Provided hybrid online/offline movie recommendations for anonymous users, new users (cold-start) and old users.

Implementation of movie recommendation system using C