EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context
📰 ArXiv cs.AI
EventChat is a conversational recommender system using large language models for SMEs to suggest leisure events
Action Steps
- Implement a large language model-driven conversational recommender system
- Conduct user-centric evaluations to assess the system's effectiveness
- Analyze the strategic implications for SMEs
- Integrate the system with existing event exploration platforms
Who Needs to Know This
Product managers and AI engineers on a team can benefit from this research as it provides insights into implementing and evaluating LLM-driven conversational recommender systems in an SME context
Key Insight
💡 LLM-driven conversational recommender systems can be effective in SME contexts, but require careful implementation and evaluation
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🤖 EventChat: LLM-driven conversational recommender system for leisure events in SMEs
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