3 papers
cs.IR2024
Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
Li Wang, Shoujin Wang, Quangui Zhang +2
Cross-domain recommendation (CDR) aims to address the data-sparsity problem by transferring knowledge across domains. Existing CDR methods generally assume that the user-item inter…
cs.AI2024
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation
Li Wang, Lei Sang, Quangui Zhang +2
Cross-domain recommendation (CDR) aims to enhance recommendation accuracy in a target domain with sparse data by leveraging rich information in a source domain, thereby addressing…
cs.SI2024
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation
Li Wang, Min Xu, Quangui Zhang +2
Social recommendation systems face the problem of social influence bias, which can lead to an overemphasis on recommending items that friends have interacted with. Addressing this…