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Java Deep Learning Projects by Md. Rezaul Karim

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Movie recommender system using factorization machines

In this project, we saw how to develop a movie recommendation system using factorization machines (FMs) that are a set of algorithms that enhance the performance of linear models by incorporating second-order feature interactions that are absent in matrix factorization algorithms in a supervised way.

Nevertheless, we saw some theoretical background of recommendation systems using matrix factorization and collaborative filtering before diving the project implementation using RankSys library-based FMs. This project not only covered movie-rating prediction by individual users but also discussed ranking predictions. Consequently, we used FM for predicting rankings for movies too.

However, ...

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