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...
| Главные авторы: | , , , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE Digital Library
2020
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