most citedMV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2022★ 11 cited

MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

Ge Fan, Chaoyun Zhang, Kai Wang +1

Industrial recommender systems usually employ multi-source data to improve the recommendation quality, while effectively sharing information between different data sources remain a…