The paper proposes reorienting group recommender systems from one-shot preference aggregation to chat-based, agentic decision support powered by large language models.
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Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support
The paper proposes reorienting group recommender systems from one-shot preference aggregation to chat-based, agentic decision support powered by large language models.