Lele Sun

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation

Cross-Domain Recommendation (CDR) has been proven to effectively alleviate the data sparsity problem in Recommender System (RS). Recent CDR methods often disentangle user features into domain-invariant and domain-specific features for efficient cross-domain knowledge transfer. Despite showcasing rob…