This project uses a hybrid approach combining both collaborative filtering and content-based filtering for movie recommendations. By integrating both methods, the system can provide better, more accurate recommendations by leveraging the strengths of each. The project uses user ratings and movie content features like genre, director, and cast information to suggest movies.
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