36 citations · 99 across the 12 of their papers we have counts for
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cs.IR2023★ 25 cited
Augmented Negative Sampling for Collaborative Filtering
Yuhan Zhao, Rui Chen, Riwei Lai +3
Negative sampling is essential for implicit-feedback-based collaborative filtering, which is used to constitute negative signals from massive unlabeled data to guide supervised lea…
cs.IR2023
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation
Chen Rui, Liang Guotao, Ma Chenrui +3
Sequential recommender systems have demonstrated a huge success for next-item recommendation by explicitly exploiting the temporal order of users' historical interactions. In pract…
cs.IR2023★ 3 cited
Denoising and Prompt-Tuning for Multi-Behavior Recommendation
Chi Zhang, Rui Chen, Xiangyu Zhao +2
In practical recommendation scenarios, users often interact with items under multi-typed behaviors (e.g., click, add-to-cart, and purchase). Traditional collaborative filtering tec…