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- W4386542364 abstract "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 domains. We propose ten fundamental principles that an AGR should adhere to, each with its corresponding testing protocol. We proceed to assess whether ChatGPT, a sophisticated LLM, can comply with the proposed principles by engaging in recommendation-oriented dialogues with the model while observing its behavior. Our findings demonstrate the potential for ChatGPT to serve as an AGR, though several limitations and areas for improvement are identified." @default.
- W4386542364 created "2023-09-09" @default.
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- W4386542364 date "2023-09-08" @default.
- W4386542364 modified "2023-10-16" @default.
- W4386542364 title "Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT" @default.
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- W4386542364 doi "https://doi.org/10.3390/a16090432" @default.
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