24 citations · 46 across the 5 of their papers we have counts for
5 papers
Bandit Learning for Diversified Interactive Recommendation
Yong Liu, Yingtai Xiao, Qiong Wu +2
Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions. Previous methods mainly focus o…
Recent Advances in Diversified Recommendation
Qiong Wu, Yong Liu, Chunyan Miao +3
With the rapid development of recommender systems, accuracy is no longer the only golden criterion for evaluating whether the recommendation results are satisfying or not. In recen…
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…
Computational Curiosity (A Book Draft)
Qiong Wu
This book discusses computational curiosity, from the psychology of curiosity to the computational models of curiosity, and then showcases several interesting applications of compu…
Designing Socially Intelligent Virtual Companions
Han Yu, Zhiqi Shen, Qiong Wu +1
Virtual companions that interact with users in a socially complex environment require a wide range of social skills. Displaying curiosity is simultaneously a factor to improve a co…