2 papers
cs.IR2026
Beyond Instance-Level Alignment and Uniformity: Semantic Factor Learning for Collaborative Filtering
Yajie Yu, Chenzhong Bin, Zhoubo Xu +4
Collaborative filtering (CF) is widely used in recommender systems (RecSys) due to its simplicity and efficiency. However, existing CF methods follow an instance-level learning par…
cs.IR2025
Improving Recommendation Fairness via Graph Structure and Representation Augmentation
Tongxin Xu, Wenqiang Liu, Chenzhong Bin +3
Graph Convolutional Networks (GCNs) have become increasingly popular in recommendation systems. However, recent studies have shown that GCN-based models will cause sensitive inform…