Adaptive Frequency Domain Data Augmentation for Sequential Recommendation
The sequential recommendation aims to predict users’ future interests or needs by analyzing their behavioral data over some time. Most existing approaches model user preference in the time domain, ignoring the impact of different frequency patterns (periodic features) on users’...
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| Main Authors: | Zhibin Yang, Jiwei Qin, Donghao Zhang, Jie Ma, Peichen Ji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10753583/ |
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