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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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Guardado en:
Autores principales: Guo Lin, Yongfeng Zhang
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2023-09-01
Colección:Algorithms
Materias:
ChatGPT
Artificial General Recommender
conversational recommender system
multi-task recommender system
multi-domain recommender system
Acceso en línea:https://www.mdpi.com/1999-4893/16/9/432
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