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cs.IR2025
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Wei Wang, Yujie Lin, Jianli Zhao +4
Most existing contrastive learning-based sequential recommendation (SR) methods rely on random operations (e.g., crop, reorder, and substitute) to generate augmented sequences. The…
cs.IR2024
Privacy-Preserving Sequential Recommendation with Collaborative Confusion
Wei Wang, Yujie Lin, Pengjie Ren +7
Sequential recommendation has attracted a lot of attention from both academia and industry, however the privacy risks associated to gathering and transferring users' personal inter…