most citedImproving Recommendation Fairness via Graph Structure and Representation Augmentation

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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★ 1 cited

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…