53 citations · 53 across the 3 of their papers we have counts for
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cs.HC2026
How Personal Characteristics Shape User Exploration of Diverse Movie Recommendations with a LLM-Based Multi-Agent System
Yufan Zhou, Yirui Huang, Zhao Wang +1
Diversity is an important evaluation criterion for recommender systems beyond accuracy, yet users differ in their willingness to engage with novel and diverse content. In this work…
cs.HC2022★ 53 cited
Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems
Wanling Cai, Yucheng Jin, Li Chen
Conversational recommender systems (CRSs) imitate human advisors to assist users in finding items through conversations and have recently gained increasing attention in domains suc…