This project is to implement the recommendation system. This system can help company gain their profit because of promote their products. In this project, I need to implement the recommendation system which can predict the score of movies. The movies I predict have not seen by the user. we predict the movies score base on another users’ movie score. We can predict through the result to recommend the user movie they may like. The dataset is from MovieLen which provides 970 users score in 9216 movies. I use k-nearest-neighbors (KNN) and Collaborative Filtering (CF) to implement this system.
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