基于对比学习的动态图序列推荐方法OA北大核心CSTPCD

To alleviate the problems in dynamic graph sequential recommendation,such as sparse and noisy user-item interaction da-ta,and the requirement for a large number of labels,this paper proposes a new dynamic graph sequential recommendation method based on contrastive learning,which is called CDGSR(Contrastive Dynamic Graph for Sequential Recommendation).Specifically,CDGSR designed three different contrastive learning methods from coarse-grained to fine-grained:…查看全部>>