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Matrix factorization (MF) models have proved efficient and well scalable for collaborative filtering (CF) problems. Many researchers also present the probabilistic interpretation of MF. They usually assume that the factor vectors of users and items are from normal distributions, and so are the ratings when the user and item factors are given. Then they can derive the exact MF algorithm by finding...
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