Prospect Personalized Recommendation on Large Language Model-based Agent Platform

arXiv:2402.18240v1 Announce Type: cross
Abstract: The new kind of Agent-oriented information system, exemplified by GPTs, urges us to inspect the information system infrastructure to support Agent-level information processing and to adapt to the characteristics of Large Language Model (LLM)-based Agents, such as interactivity. In this work, we envisage the prospect of the recommender system on LLM-based Agent platforms and introduce a novel recommendation paradigm called Rec4Agentverse, comprised of Agent Items and Agent Recommender. Rec4Agentverse emphasizes the collaboration between Agent Items …

abstract adapt agent agents arxiv cs.cl cs.ir gpts information infrastructure kind language language model large language large language model llm personalized platform processing recommendation support the information type work