3 papers
cs.HC2026
Recommendation-as-Experience: A framework for context-sensitive adaptation in conversational recommender systems
Raj Mahmud, Shlomo Berkovsky, Mukesh Prasad +1
While Conversational Recommender Systems (CRS) have matured technically, they frequently lack principled methods for encoding latent experiential aims as adaptive state variables.…
cs.IR2025
Evaluating User Experience in Conversational Recommender Systems: A Systematic Review Across Classical and LLM-Powered Approaches
Raj Mahmud, Yufeng Wu, Abdullah Bin Sawad +3
Conversational Recommender Systems (CRSs) are receiving growing research attention across domains, yet their user experience (UX) evaluation remains limited. Existing reviews large…
cs.HC2025
Understanding User Preferences for Interaction Styles in Conversational Recommender Systems: The Predictive Role of System Qualities, User Experience, and Traits
Raj Mahmud, Shlomo Berkovsky, Mukesh Prasad +1
Conversational Recommender Systems (CRSs) deliver personalised recommendations through multi-turn natural language dialogue and increasingly support both task-oriented and explorat…