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May 22, 2024Open Access

Navigating User Experience of ChatGPT-based Conversational Recommender Systems: The Effects of Prompt Guidance and Recommendation Domain

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Authors

YZYizhe ZhangYJYucheng JinLCLi Chen

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Cite This Study

Zhang et al. (2024) studied this question.

synapsesocial.com/papers/68e68fa6b6db643587616661https://doi.org/10.48550/arxiv.2405.13560
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1ChatGPT as a Conversational Recommender System: A User-Centric Analysis2024 · 14 citations
  2. 2Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems2024 · 35 citations
  3. 3Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems2024 · 2 citations
  4. 4User Perceptions of Personalized and Generic Explanations in LLM-Driven Recommender Systems2025
  5. 5RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm2024