most citedEventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2026★ 2 cited

EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context

Hannes Kunstmann, Joseph Ollier, Joel Persson +1

Large language models (LLMs) present an enormous evolution in the strategic potential of conversational recommender systems (CRS). Yet to date, research has predominantly focused u…