Item-Based Collaborative Filtering for Movie Recommendations

This project implements item-based collaborative filtering for movie recommendations. The system calculates the similarity between movies based on user ratings, suggesting movies similar to the ones the user has already rated highly. This approach is scalable and efficient, especially when dealing with a large number of users and items.