1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.IR2024
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation
Hulingxiao He, Xiangteng He, Yuxin Peng +2
Recommendation models utilizing unique identities (IDs) to represent distinct users and items have dominated the recommender systems literature for over a decade. Since multi-modal…
cs.IR2023★ 1 cited
MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendation
Xin Su, Yao Zhou, Zifei Shan +1
It is a long-standing challenge in modern recommender systems to effectively make recommendations for new users, namely the cold-start problem. Cross-Domain Recommendation (CDR) ha…