Transferable and curious AI in sequential recommendation
With the rapid development of E-commerce, recommendation systems have attracted more research attention in recent years, which help users make effective decisions among various items. Traditional recommendation methods usually utilize the whole user-item interaction history to model users' long...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2023
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/164474 |
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