This project utilizes collaborative filtering to build a movie recommendation system. It uses historical user ratings to predict which movies a user may like based on the ratings of similar users. The system provides personalized recommendations for users, helping them discover movies they may not have found otherwise. The project includes implementing an item-based or user-based collaborative filtering algorithm.
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