Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT

This study investigates the feasibility of developing an Artificial General Recommender (AGR), facilitated by recent advancements in Large Language Models (LLMs). An AGR comprises both conversationality and universality to engage in natural dialogues and generate recommendations across various domai...

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Autors principals:	Guo Lin, Yongfeng Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-09-01
Col·lecció:	Algorithms
Matèries:	ChatGPT Artificial General Recommender conversational recommender system multi-task recommender system multi-domain recommender system
Accés en línia:	https://www.mdpi.com/1999-4893/16/9/432
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