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...
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
IEEE Digital Library
2020
|