activity
20202026
most citedMV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

11 citations · 14 across the 4 of their papers we have counts for

collaborators
Showing cs.IRShow all

2 papers · 1 filter

cs.IR2026

Bridging the Structural Gap: Adapting Autoregressive Generation for Recommendation

Junchao Zeng, Junzhang Zhu, Junyang Chen +4

Generative Recommendation (GR) has emerged as a new paradigm for sequential recommendation, in which a representative line of work encodes items into hierarchical semantic IDs via…

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…