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A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

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boosting-algorithms implicit-feedback machine-learning matrix-factorization movie-recommendation netflix netflix-prize recommendation-engine recommendation-system regression-models surprise-library svd svd-factorization svd-matrix-factorisation svdpp xgboost xgboost-regression

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