mlsanityData to 7 Oct 2026

Prospect Personalized Recommendation on Large Language Model-based Agent Platform

arXiv 2402.18240 ↗First posted 28 Feb 2024cs.IR cs.CLcited by 19

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

Abstract (arXiv)

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 and Agent Recommender, thereby promoting personalized information services and enhancing the exchange of information beyond the traditional user-recommender feedback loop. Additionally, we prospect the evolution of Rec4Agentverse and conceptualize it into three stages based on the enhancement of the interaction and information exchange among Agent Items, Agent Recommender, and the user. A preliminary study involving several cases of Rec4Agentverse validates its significant potential for application. Lastly, we discuss potential issues and promising directions for future research.

Key facts. Cited by 19 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 39 of its 55 references that are in the map. First posted on arXiv 28 Feb 2024.

Builds on

39 of 55 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 · 37

  1. 2023Mamba: Linear-Time Sequence Modeling with Selective State Spacescited by 4,616
  2. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  3. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 2,950
  4. 2023A Survey on Large Language Model based Autonomous Agentscited by 2,203
  5. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  6. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
  7. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  8. 2023ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debatecited by 724
  9. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 609
  10. 2023AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviorscited by 580
  11. 2023GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Promptscited by 520
  12. 2023LLM+P: Empowering Large Language Models with Optimal Planning Proficiencycited by 496
25 more
  1. 2023Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruningcited by 408
  2. 2023A Survey on Large Language Models for Recommendationcited by 378
  3. 2023TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendationcited by 336
  4. 2023Character-LLM: A Trainable Agent for Role-Playingcited by 335
  5. 2023Large Language Models are Zero-Shot Rankers for Recommender Systemscited by 307
  6. 2023Is ChatGPT a Good Recommender? A Preliminary Studycited by 192
  7. 2023Knowledge Editing for Large Language Models: A Surveycited by 189
  8. 2023Recommender Systems in the Era of Large Language Models (LLMs)cited by 188
  9. 2023Adapting Large Language Models by Integrating Collaborative Semantics for Recommendationcited by 171
  10. 2023Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approachcited by 168
  11. 2023RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunkingcited by 167
  12. 2023Uncovering ChatGPT's Capabilities in Recommender Systemscited by 160
  13. 2023How Can Recommender Systems Benefit from Large Language Models: A Surveycited by 141
  14. 2023Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendationcited by 113
  15. 2022A Survey on the Fairness of Recommender Systemscited by 102
  16. 2023Conversational Health Agents: A Personalized LLM-Powered Agent Frameworkcited by 91
  17. 2021Towards Long-term Fairness in Recommendationcited by 77
  18. 2023A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systemscited by 73
  19. 2023Generative Recommendation: Towards Next-generation Recommender Paradigmcited by 69
  20. 2024Towards 3D Molecule-Text Interpretation in Language Modelscited by 65
  21. 2022Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planningcited by 47
  22. 2023ChatLLM Network: More brains, More intelligencecited by 37
  23. 2023A Large Language Model Enhanced Conversational Recommender Systemcited by 31
  24. 2023Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendationcited by 29
  25. 2024Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recencycited by 27

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 10; 2026: 6.

19 papers.

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  1. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 76
  2. 2024MC-LLaVA: Multi-Concept Personalized Vision-Language Modelcited by 53
  3. 2025A Survey on LLM-powered Agents for Recommender Systemscited by 49
  4. 2025A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applicationscited by 40
  5. 2025SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluationcited by 32
  6. 2025A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrievalcited by 31
  7. 2024Simulating Financial Market via Large Language Model based Agentscited by 25
  8. 2025Towards Agentic Recommender Systems in the Era of Multimodal Large Language Modelscited by 25
  9. 2025AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendationscited by 23
  10. 2025The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systemscited by 14
  11. 2025CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steeringcited by 12
  12. 2026EXACT: Explicit Attribute-Guided Decoding-Time Personalizationcited by 3
7 more
  1. 2026Beyond Offline A/B Testing: Context-Aware Agent Simulation for Recommender System Evaluationcited by 3
  2. 2025LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systemscited by 2
  3. 2026AgenticTagger: Structured Item Representation for Recommendation with LLM Agentscited by 2
  4. 2025MC-LLaVA: Multi-Concept Personalized Vision-Language Modelcited by 0
  5. 2026Learning to Recommend Multi-Agent Subgraphs from Calling Treescited by 0
  6. 2026The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shapecited by 0
  7. 2026Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivitycited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
  2. 2023On Generative Agents in Recommendation
  3. 2026AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side
  4. 2026Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems
  5. 2026Do Recommendation Algorithms Work When Users Are LLM Agents? A Case Study on Moltbook
  6. 2025Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
  7. 2025AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence
  8. 2026Personalized Recommendation Tool Learning via Autonomous Language Agents