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A movie recommender system based on MovieLens (20M) dataset and FunkSVD algorithm

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MovieLens Recommendations

Final Project for TCDS - Technion Data Science Specialization, Dean Shabi, Dedi Kovatch, July 2019

In this project, we used Funk-SVD model to predict best movies for users, based on 20M user ratings in MovieLens Dataset. The dataset includes 20M ratings on 27K movies (from early 20's century to 2016) of 138K users.

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A movie recommender system based on MovieLens (20M) dataset and FunkSVD algorithm

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