most citedM2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation

17 citations · 17 across the 1 of their papers we have counts for

collaborators

1 paper

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…