mlsanityData to 7 Oct 2026

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

arXiv 2409.13700 ↗First posted 5 Sep 2024cs.IR cs.AI cs.SIcited by 6

On the map: LLM agents and tool use → Agentic recommender systems

Abstract (arXiv)

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 recommendations.The 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 https://github.com/yuqian2003/MAS4POI.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Placed in Agentic recommender systems, one of 16 directions in LLM agents and tool use. Builds on 17 of its 26 references that are in the map. First posted on arXiv 5 Sep 2024.

Builds on

17 of 26 references.

Closest ancestors · 1

Same direction, newest first

  1. 2024MACRec: a Multi-Agent Collaboration Framework for Recommendation23 Feb

Other references · 16

  1. 2023Qwen Technical Reportcited by 3,273
  2. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  3. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  4. 2024ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Toolscited by 1,096
  5. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
  6. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
  7. 2024Large Language Models: A Surveycited by 506
  8. 2023Cognitive Architectures for Language Agentscited by 422
  9. 2023Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agentscited by 329
  10. 2023RoCo: Dialectic Multi-Robot Collaboration with Large Language Modelscited by 171
  11. 2023GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendationcited by 57
  12. 2024Large Language Models for Next Point-of-Interest Recommendationcited by 40
4 more
  1. 2024Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendationcited by 17
  2. 2020A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendationscited by 16
  3. 2024Deep Feature Embedding for Tabular Datacited by 7
  4. 2024Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfacescited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 3.

6 papers.

  1. 2025Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Reviewcited by 10
  2. 2025Beyond Regularity: Modeling Chaotic Mobility Patterns for Next Location Predictioncited by 3
  3. 2026Autonomous Information Seeking: A Roadmap for Agentic Recommender Systemscited by 3
  4. 2024Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systemscited by 2
  5. 2026UrbanFM: Scaling Urban Spatio-Temporal Foundation Modelscited by 1
  6. 2026Enhancing Human Mobility Prediction with Spatially Aware LLM-based Multi-Agent Systemscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025TOOL4POI: A Tool-Augmented LLM Framework for Next POI Recommendation
  2. 2025Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
  3. 2025A Survey on LLM-powered Agents for Recommender Systems
  4. 2026Think2Go: Generative Next POI Recommendation with LLM Reasoning
  5. 2025A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
  6. 2025CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language
  7. 2025The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
  8. 2026Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation