A time-sensitive personalized recommendation method based on probabilistic matrix factorization technique
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DOI: 10.1007/s00500-018-3406-4
Abstract: Personalized recommender systems are the most effective way to solve the problem of information overload. The majority of traditional personalized recommender systems employ the collaborative filtering (CF) approach. CF leverages users’ behaviors to infer a… read more here.
Keywords: sensitive personalized; recommendation; context; matrix ... See more keywords