mlsanityData to 7 Oct 2026

Agentic recommender systems

140 papers1 this weekHigh confidence in this grouping: the papers form one clear topicHigh confidence in this grouping: the papers form one clear topic · About

Keywords: recommendation, recommender, user, recommender systems, systems

Key facts. Agentic recommender systems: 140 papers on arXiv since 2023 (data through 7 Oct 2026). 49 of its 140 mapped papers (35%) cite “AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems” (2023, arXiv 2310.09233). 48 of its 140 mapped papers (34%) cite “RecMind: Large Language Model Powered Agent For Recommendation” (2023, arXiv 2308.14296). 10 new papers 17 Sep–7 Oct.

What’s new

17 Sep – 7 Oct 2026

10 new papers, 17 Sep – 7 Oct; 1 this week.

  1. This week · 1
  2. Personal-Agent Mediated Recommendation with Cross-Platform User History
  3. Earlier · 9
  4. AgentWebRec: Compact Evidence Fusion over the Agent Web for Personalized Recommendation
  5. RealWorldShop: Benchmarking and Improving Conversational Shopping Agents in Real-World E-commerce
  6. VirusCascade: Hijacking Collaborative Reflection in LLM-Powered Recommender Agents
  7. ReMem: Rethinking Perception and Memory in Long-Context Recommendation Agents
  8. AdaptArena: Evaluating Test-Time Personalization of Web Agents also fits: Web, search, and research agents
  9. AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side
  10. RecToolBench: Benchmarking Recommendation-Specific Tool Orchestration under Fuzzy User Intent
  11. AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework
  12. Advancing Model Research in AgentX: Long-Horizon Autonomy for Industrial Recommender Systems

Foundations

Most cited by papers here

  1. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems2023cited by 49 here
  2. RecMind: Large Language Model Powered Agent For Recommendation2023cited by 48 here
  3. Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations2023cited by 47 here
  4. MACRec: a Multi-Agent Collaboration Framework for Recommendation2024cited by 32 here
  5. On Generative Agents in Recommendation2023cited by 29 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 27 here
  2. 2023User Behavior Simulation with Large Language Model based Agentscited by 21 here
  3. 2023A Survey on Large Language Model based Autonomous Agentscited by 26 here
  4. 2023Recommender AI Agent: Integrating Large Language Models for Interactive Recommendationscited by 47 here
  5. 2023AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systemscited by 49 here
  6. 2024MACRec: a Multi-Agent Collaboration Framework for Recommendationcited by 32 here
  7. 2025A Survey on LLM-powered Agents for Recommender Systemscited by 25 here
  8. 2025A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrievalcited by 13 here
  9. 2026MemRec: Collaborative Memory-Augmented Agentic Recommender Systemcited by 10 here
15 more it builds on, not in this chain
  1. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 17 here
  2. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 15 here
  3. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 11 here
  4. 2023RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agentscited by 16 here
  5. 2023RecMind: Large Language Model Powered Agent For Recommendationcited by 48 here
  6. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 14 here
  7. 2023On Generative Agents in Recommendationcited by 29 here
  8. 2024A Multi-Agent Conversational Recommender Systemcited by 21 here
  9. 2024Understanding the planning of LLM agents: A surveycited by 8 here
  10. 2024Prospect Personalized Recommendation on Large Language Model-based Agent Platformcited by 9 here
  11. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 10 here
  12. 2025A-MEM: Agentic Memory for LLM Agentscited by 8 here
  13. 2025AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendationscited by 12 here
  14. 2025iAgent: LLM Agent as a Shield between User and Recommender Systemscited by 13 here
  15. 2025AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systemscited by 9 here

The 24 most cited of 354.

Browse

30 of 140, ranked 6–35

  1. 6A Survey on LLM-powered Agents for Recommender Systems202525
  2. 7A Multi-Agent Conversational Recommender System202421
  3. 8RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents202316
  4. 9iAgent: LLM Agent as a Shield between User and Recommender Systems202513
  5. 10A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval202513
  6. 11AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations202512
  7. 12MemRec: Collaborative Memory-Augmented Agentic Recommender System202610
  8. 13AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems20259
  9. 14Prospect Personalized Recommendation on Large Language Model-based Agent Platform20249
  10. 15Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents20268
All 30
  1. 16Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations20257
  2. 17Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models20256
  3. 18The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems20256
  4. 19STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning20256
  5. 20RecoWorld: Building Simulated Environments for Agentic Recommender Systems20256
  6. 21Agentic Feedback Loop Modeling Improves Recommendation and User Simulation20246
  7. 22RecNet: Self-Evolving Preference Propagation for Agentic Recommender Systems20265
  8. 23PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence20255
  9. 24AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders20264
  10. 25AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms20254
  11. 26CARTS: Collaborative Agents for Recommendation Textual Summarization20254
  12. 27ARAG: Agentic Retrieval Augmented Generation for Personalized Recommendation20254
  13. 28Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent20254
  14. 29AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation20263
  15. 30LLMs as Orchestrators: Constraint-Compliant Multi-Agent Optimization for Recommendation Systems20263
  16. 31Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation20263
  17. 32Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange20263
  18. 33Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems20253
  19. 34AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence20253
  20. 35AgenticTagger: Structured Item Representation for Recommendation with LLM Agents20262