HHMF: hidden hierarchical matrix factorization for recommender systems

Data Mining and Knowledge Discovery, pp. 1548-1582, 2019.

Cited by: 4|Views54


Matrix factorization (MF) is one of the most powerful techniques used in recommender systems. MF models the (user, item) interactions behind historical explicit or implicit ratings. Standard MF does not capture the hierarchical structural correlations, such as publisher and advertiser in advertisement recommender systems, or the taxonomy ...More



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