Hongwei Zhou

Ranking Enhanced Fine-Grained Contrastive Learning for Recommendation

Contrastive learning (CL) has been widely used to improve recommendation performance, since its self-supervised signals can effectively alleviate the data sparsity issue in recommender systems. Nevertheless, most existing CL-based recommendation models construct negative sample pairs following the c…