Time-Aware Sequential Recommendation Model Based on Dual-Tower Self-Attention
Users’ preferences are migratory and aggregated. Although recommenders have been greatly improved by modeling the timestamps of interactions within a sequential modeling framework, they only consider the time interval of interactions when modeling, making them limited in capturing the temporal dynam...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Chinês |
| Опубліковано: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2024-01-01
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| Серія: | Jisuanji kexue yu tansuo |
| Предмети: | |
| Онлайн доступ: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2211022.pdf |
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