7 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.AI2021
Learning to Ask Appropriate Questions in Conversational Recommendation
Xuhui Ren, Hongzhi Yin, Tong Chen +3
Conversational recommender systems (CRSs) have revolutionized the conventional recommendation paradigm by embracing dialogue agents to dynamically capture the fine-grained user pre…
cs.SI2021★ 2 cited
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
Tong Chen, Hongzhi Yin, Jie Ren +3
With the ubiquitous graph-structured data in various applications, models that can learn compact but expressive vector representations of nodes have become highly desirable. Recent…
cs.SI2017★ 7 cited
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users
Hao Wang, Yanmei Fu, Qinyong Wang +3
Spatial item recommendation has become an important means to help people discover interesting locations, especially when people pay a visit to unfamiliar regions. Some current rese…