2 papers
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…