This project combines K-Means clustering with collaborative filtering for movie recommendations. The system first clusters users into groups based on their movie preferences using K-Means clustering, and then applies collaborative filtering within each cluster to recommend movies. This hybrid approach improves the recommendation quality by grouping similar users together.
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