36 citations · 64 across the 4 of their papers we have counts for
4 papers
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…
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…
Trajectory Data Collection with Local Differential Privacy
Yuemin Zhang, Qingqing Ye, Rui Chen +2
Trajectory data collection is a common task with many applications in our daily lives. Analyzing trajectory data enables service providers to enhance their services, which ultimate…
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…