17 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.IR2023★ 17 cited
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation
Zepeng Huai, Yuji Yang, Mengdi Zhang +3
Cross-domain recommendation (CDR) is an effective way to alleviate the data sparsity problem. Content-based CDR is one of the most promising branches since most kinds of products c…
cs.IR2022
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query
Zepeng Huai, Zhe Wang, Yifan Zhu +1
Paper recommendation with user-generated keyword is to suggest papers that simultaneously meet user's interests and are relevant to the input keyword. This is a recommendation task…
cs.IR2021★ 2 cited
Knowledge graph enhanced recommender system
Zepeng Huai, Jianhua Tao, Feihu Che +2
Knowledge Graphs (KGs) have shown great success in recommendation. This is attributed to the rich attribute information contained in KG to improve item and user representations as…