Data Collaborative Contrastive Recommendation model with self-adaptive noise

Rongmei Zhao, Li Chen, Siyu Sun, Jian Peng, Shenggen Ju

Abstract: Highlights•A recommender system that adapts to noise in implicit feedback.•Balancing accuracy and diversity through data collaborative training.•Experiments on three datasets verify the effectiveness of the model.