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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Bibliographic Details
Main Authors: Zhibin Yang, Jiwei Qin, Donghao Zhang, Jie Ma, Peichen Ji
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10753583/
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