Enhanced Attention Framework for Multi-Interest Sequential Recommendation
Sequential recommendation tasks predict items to be interacted at the next moment according to users’ historical behavior sequences. A large number of studies have shown that accuracy is not the only evaluation metric in the sequential recommendation tasks. Diversity can measure homogenei...
| Autors principals: | , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
IEEE
2022-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/9802112/ |