This project uses the K-Nearest Neighbors (KNN) algorithm for collaborative filtering in movie recommendation. KNN identifies the nearest neighbors (users or movies) based on similarity and suggests movies that the neighbors liked. The system is simple to implement and effective for small to medium-sized datasets.
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