MSGD: A Novel Matrix Factorization Approach for Large Scale Collaborative Filter

Real-time accurate recommendation of large-scale recommender systems is a challenging task. Matrix factorization (MF),.as one of the most accurate and scalable techniques to predict missing ratings, has become popular in the collaborative filtering (CF).community. Currently, stochastic gradient desc