14 citations · 14 across the 1 of their papers we have counts for
3 papers
cs.IR2020
Learning Hierarchical Review Graph Representations for Recommendation
Yong Liu, Susen Yang, Yinan Zhang +3
The user review data have been demonstrated to be effective in solving different recommendation problems. Previous review-based recommendation methods usually employ sophisticated…
cs.IR2019★ 14 cited
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation
Yong Liu, Yinan Zhang, Qiong Wu +5
Interactive recommendation that models the explicit interactions between users and the recommender system has attracted a lot of research attentions in recent years. Most previous…
cs.AI2018
Reductive Clustering: An Efficient Linear-time Graph-based Divisive Cluster Analysis Approach
Ching Tarn, Yinan Zhang, Ye Feng
We propose an efficient linear-time graph-based divisive cluster analysis approach called Reductive Clustering. The approach tries to reveal the hierarchical structural information…