PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems
cs.CL, cs.IR, cs.LG
Submitted: 2026-09-26
Updated: 2026-09-26
Sources
- UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems
- Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces
- Contextualizing Recommendation Explanations with LLMs: A User Study
- The Behavioral Fabric of LLM-Powered GUI Agents: Human Values and Interaction Outcomes
- LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
- VENOMREC: Cross-Modal Interactive Poisoning for Targeted Promotion in Multimodal LLM Recommender Systems
- A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
- Generative Agents and Expectations: Do LLMs Align with Heterogeneous Agent Models?
- Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems
- Session-based Recommendations with Recurrent Neural Networks
- Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy
- Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
- RecSim: A Configurable Simulation Platform for Recommender Systems
- Self-EvolveRec: Self-Evolving Recommender Systems with LLM-based Directional Feedback
- RecoWorld: Building Simulated Environments for Agentic Recommender Systems
- Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
- A Survey on LLM-powered Agents for Recommender Systems
- BPR: Bayesian Personalized Ranking from Implicit Feedback
- Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
- LLMs as Strategic Actors: Behavioral Alignment, Risk Calibration, and Argumentation Framing in Geopolitical Simulations
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