mlsanityData to 7 Oct 2026

MACRec: a Multi-Agent Collaboration Framework for Recommendation

arXiv 2402.15235 ↗First posted 23 Feb 2024cs.IRcited by 58

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

Abstract (arXiv)

LLM-based agents have gained considerable attention for their decision-making skills and ability to handle complex tasks. Recognizing the current gap in leveraging agent capabilities for multi-agent collaboration in recommendation systems, we introduce MACRec, a novel framework designed to enhance recommendation systems through multi-agent collaboration. Unlike existing work on using agents for user/item simulation, we aim to deploy multi-agents to tackle recommendation tasks directly. In our framework, recommendation tasks are addressed through the collaborative efforts of various specialized agents, including Manager, User/Item Analyst, Reflector, Searcher, and Task Interpreter, with different working flows. Furthermore, we provide application examples of how developers can easily use MACRec on various recommendation tasks, including rating prediction, sequential recommendation, conversational recommendation, and explanation generation of recommendation results. The framework and demonstration video are publicly available at https://github.com/wzf2000/MACRec.

Key facts. Cited by 58 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 9 of its 26 references that are in the map. First posted on arXiv 23 Feb 2024.

Builds on

9 of 26 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems13 Oct
  2. 2023Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations31 Aug

Other references · 7

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  4. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  5. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
  6. 2024Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filteringcited by 10
  7. 2023GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systemscited by 9

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 6; 2025: 24; 2026: 28.

58 papers.

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  1. 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
  2. 2025Large Language Model Agent: A Survey on Methodology, Applications and Challengescited by 194
  3. 2024Teams of LLM Agents can Exploit Zero-Day Vulnerabilitiescited by 93
  4. 2025A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challengescited by 58
  5. 2025A Survey on LLM-powered Agents for Recommender Systemscited by 49
  6. 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applicationscited by 40
  7. 2025A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrievalcited by 31
  8. 2024Multi-Agent Collaboration via Cross-Team Orchestrationcited by 30
  9. 2025iAgent: LLM Agent as a Shield between User and Recommender Systemscited by 23
  10. 2025AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systemscited by 23
  11. 2026MemRec: Collaborative Memory-Augmented Agentic Recommender Systemcited by 15
  12. 2025The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systemscited by 14
38 more
  1. 2024GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaborationcited by 12
  2. 2024Knowledge Graph Enhanced Language Agents for Recommendationcited by 11
  3. 2025Towards Transparent and Incentive-Compatible Collaboration in Decentralized LLM Multi-Agent Systems: A Blockchain-Driven Approachcited by 11
  4. 2025Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendationscited by 10
  5. 2026Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directionscited by 10
  6. 2025Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decompositioncited by 9
  7. 2025Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourismcited by 7
  8. 2024MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendationcited by 6
  9. 2025Agentic Services Computingcited by 6
  10. 2025Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendationcited by 6
  11. 2026Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challengescited by 6
  12. 2026ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing Servicescited by 5
  13. 2026LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systemscited by 5
  14. 2026MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucinationcited by 5
  15. 2026Agentic Recommender System with Hierarchical Belief-State Memorycited by 4
  16. 2025Simulating Human-Like Learning Dynamics with LLM-Empowered Agentscited by 3
  17. 2026From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modelingcited by 3
  18. 2026Autonomous Information Seeking: A Roadmap for Agentic Recommender Systemscited by 3
  19. 2024Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systemscited by 2
  20. 2025LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systemscited by 2
  21. 2025Powering Job Search at Scale: LLM-Enhanced Query Understanding in Job Matching Systemscited by 2
  22. 2025ProMediate: A Socio-cognitive framework for evaluating proactive agents in multi-party negotiationcited by 2
  23. 2026A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Managementcited by 2
  24. 2026SAGER: Self-Evolving User Policy Skills for Recommendation Agentcited by 2
  25. 2026τ-Rec: A Verifiable Benchmark for Agentic Recommender Systemscited by 2
  26. 2025Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenderscited by 1
  27. 2025Cloud-Device Collaborative Agents for Sequential Recommendationcited by 1
  28. 2026LLMGreenRec: LLM-Based Multi-Agent Recommender System for Sustainable E-Commercecited by 1
  29. 2026Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systemscited by 1
  30. 2026TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanationscited by 1
  31. 2026Learning from Online User Feedback for Shopping Agentscited by 1
  32. 2026CORAL: An LLM-Native Harness for Production Recommender Systemscited by 1
  33. 2025ImpReSS: Implicit Recommender System for Support Conversationscited by 0
  34. 2025FurniMAS: Language-Guided Furniture Decoration using Multi-Agent Systemcited by 0
  35. 2025Agentic Workflow for Education: Concepts and Applicationscited by 0
  36. 2026Beyond Sentiment: A Multi-Agent Pipeline for Actionable Business Advice from Reviewscited by 0
  37. 2026WarpRec: Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendationcited by 0
  38. 2026Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systemscited by 0

50 most cited of 58 All 58 (JSON)

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  1. 2025AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence
  2. 2026AgenticRec: A Recommendation-Oriented Agentic Framework with Progressive Tool-Integrated Reasoning Optimization
  3. 2023On Generative Agents in Recommendation
  4. 2024A Multi-Agent Conversational Recommender System
  5. 2026AgenticRecTune: Multi-Agent with Self-Evolving Skillhub for Recommendation System Optimization
  6. 2026ChainRec: An Agentic Recommender Learning to Route Tool Chains for Diverse and Evolving Interests
  7. 2026RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
  8. 2026EvoRec: Self Evolving Agentic Recommender Systems