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...

书目详细资料
Main Authors:	Xu, Z, Yuan, D, Lukasiewicz, T, Chen, C, Miao, Y, Xu, G
格式:	Conference item
语言:	English
出版:	IEEE Digital Library 2020

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