Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation

Hybrid deep-semantic matrix factorization for tag-aware personalized recommendation

Matrix factorization has now become a dominant solution for personalized recommendation on the Social Web. To alleviate the cold start problem, previous approaches have incorporated various additional sources of information into traditional matrix factorization models. These upgraded models, however...

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Dettagli Bibliografici
Autori principali:	Xu, Z, Yuan, D, Lukasiewicz, T, Chen, C, Miao, Y, Xu, G
Natura:	Conference item
Lingua:	English
Pubblicazione:	IEEE Digital Library 2020

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