428 citations · 430 across the 3 of their papers we have counts for
3 papers
cs.HC2020★ 428 cited
A Survey on Conversational Recommender Systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai +1
Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction…
cs.HC2019★ 2 cited
User Validation of Recommendation Serendipity Metrics
Li Chen, Ningxia Wang, Yonghua Yang +2
Though it has been recognized that recommending serendipitous (i.e., surprising and relevant) items can be helpful for increasing users' satisfaction and behavioral intention, how…
cs.IR2012
Multi-Output Recommender: Items, Groups and Friends, and Their Mutual Contributing Effects
Wei Zeng, Li Chen
Due to the development of social media technology, it becomes easier for users to gather together to form groups. Take the Last.fm for example, users can join groups they may be in…