Neural inductive biases for sequential recommendation
In today's data-driven world, recommendation systems are indispensable for personalizing content to user preferences. Within this field, sequential recommendation—focused on ordered or timestamped user interactions—plays an essential role in anticipating future actions. Despite significant a...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2025
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| 在線閱讀: | https://hdl.handle.net/10356/182754 |
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| 機構: | Nanyang Technological University |
| 語言: | English |