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cs.IR2026
When and How to Ask: Dynamic Preference Elicitation Strategies for Conversational Recommendation
Feng Xia, Shuo Zhang, Xi Wang
Conversational Recommender Systems (CRSs) are interactive systems that use multi-turn natural language dialogue to understand evolving user preferences and provide personalized rec…
cs.AI2026
Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation
Jerome Ramos, Feng Xia, Xi Wang +4
Training conversational recommender systems (CRS) requires extensive dialogue data, which is challenging to collect at scale. To address this, researchers have used simulated user-…
cs.SI2026
Explaining Synergistic Effects in Social Recommendations
Yicong Li, Shan Jin, Qi Liu +6
In social recommenders, the inherent nonlinearity and opacity of synergistic effects across multiple social networks hinders users from understanding how diverse information is lev…