SebastianRokholt/Hybrid-Recommender-System
A repository for a machine learning project about developing a hybrid movie recommender system.
This project helps entertainment platforms recommend movies to their users. It takes a historical dataset of user movie ratings and movie characteristics, then outputs personalized movie recommendations. The ideal users are data scientists or machine learning engineers at media companies, streaming services, or content platforms.
No commits in the last 6 months.
Use this if you need to build or improve a movie recommendation engine that combines user preferences and movie features.
Not ideal if you are looking for a ready-to-deploy recommendation system or if your domain is not movie-related.
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Nov 03, 2021
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