Paper ID: 2409.13700

MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation

Yuqian Wu, Yuhong Peng, Jiapeng Yu, Raymond S. T. Lee

LLM-based Multi-Agent Systems have potential benefits of complex decision-making tasks management across various domains but their applications in the next Point-of-Interest (POI) recommendation remain underexplored. This paper proposes a novel MAS4POI system designed to enhance next POI recommendations through multi-agent interactions. MAS4POI supports Large Language Models (LLMs) specializing in distinct agents such as DataAgent, Manager, Analyst, and Navigator with each contributes to a collaborative process of generating the next POI this http URL system is examined by integrating six distinct LLMs and evaluated by two real-world datasets for recommendation accuracy improvement in real-world scenarios. Our code is available at this https URL.

Submitted: Sep 5, 2024