Knowledge&Social-based collaborative method with contrastive graph structure learning for explainable recommendation

Shunmei Meng, Xuyun Zhang, Nan Liu, Longchuan Tu, Qianmu Li

Abstract: Highlights•Knowledge&social-based recommendation with contrastive graph learning is proposed.•Multi-view graph learning is modeled to enhance explainable recommendation.•Contrastive graph structure learning is adopted to mitigate graph noise interference.•Experiments on public datasets are conducted to show the effectiveness of our method.