Multi-Sample based Contrastive Loss for Top-k Recommendation

Hao Tang, Guoshuai Zhao, Yuxia Wu +1

The top-k recommendation is a fundamental task in recommendation systems which is generally learned by comparing positive and negative pairs. The Contrastive Loss (CL) is the key i…