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cs.IR2026
Quality-Aware Collaborative Multi-Positive Contrastive Learning for Sequential Recommendation
Wei Wang, Yujie Lin, Moyan Zhang +5
The effectiveness of contrastive learning in sequential recommendation hinges on the construction of contrastive views, which ideally should be both semantically consistent and div…
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…