3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.IR2023★ 1 cited
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM
Bin Yin, Junjie Xie, Yu Qin +4
The analysis and mining of user heterogeneous behavior are of paramount importance in recommendation systems. However, the conventional approach of incorporating various types of h…
cs.IR2023★ 3 cited
PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning
Rui Liu, Bin Yin, Ziyi Cao +3
Personalized news recommender systems help users quickly find content of their interests from the sea of information. Today, the mainstream technology for personalized news recomme…