most citedEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration

15 citations · 41 across the 18 of their papers we have counts for

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cs.HC2025★ 9 cited

RecUserSim: A Realistic and Diverse User Simulator for Evaluating Conversational Recommender Systems

Luyu Chen, Quanyu Dai, Zeyu Zhang +6

Conversational recommender systems (CRS) enhance user experience through multi-turn interactions, yet evaluating CRS remains challenging. User simulators can provide comprehensive…