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User Behavior Simulation with Large Language Model-based Agents
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_3openalex-snapshot
Content-based Recommender Systems: State of the Art and Trends
inferredcites →https://doi.org/10.1007/978-3-030-12767-1_5openalex-snapshot
No Free Lunch Theorem: A Review
inferredcites →https://doi.org/10.1016/j.csl.2024.101697openalex-snapshot
Prompting large language models for user simulation in task-oriented dialogue systems
inferredcites →https://doi.org/10.1016/j.ipm.2021.102766openalex-snapshot
Recommender systems effect on the evolution of users’ choices distribution
inferredcites →https://doi.org/10.1016/j.isci.2022.105893openalex-snapshot
Information cocoons in online navigation
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1016/s0079-7421(08)60422-3openalex-snapshot
Human Memory: A Proposed System and its Control Processes
inferredcites →https://doi.org/10.1038/s42256-023-00731-4openalex-snapshot
Human–AI adaptive dynamics drives the emergence of information cocoons
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm44384.2018openalex-snapshot
2018 IEEE International Conference on Data Mining (ICDM)
inferredcites →https://doi.org/10.1109/icdmw53433.2021openalex-snapshot
2021 International Conference on Data Mining Workshops (ICDMW)
inferredcites →https://doi.org/10.1109/icdmw53433.2021.00014openalex-snapshot
SynEvaRec: A Framework for Evaluating Recommender Systems on Synthetic Data Classes
inferredcites →https://doi.org/10.1109/icmi65310.2025.11141085openalex-snapshot
Lusifer: LLM-Based User Simulated Feedback Environment for Online Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferredcites →https://doi.org/10.1109/wkdd.2010.54openalex-snapshot
User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop
inferredcites →https://doi.org/10.1145/1571941.1571978openalex-snapshot
Learning to recommend with social trust ensemble
inferredcites →https://doi.org/10.1145/2792838.2800193openalex-snapshot
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
inferredcites →https://doi.org/10.1145/2939672.2939746openalex-snapshot
Towards Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3209978.3210002openalex-snapshot
Conversational Recommender System
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3383313.3412252openalex-snapshot
Keeping Dataset Biases out of the Simulation
inferredcites →https://doi.org/10.1145/3394486.3403202openalex-snapshot
Evaluating Conversational Recommender Systems via User Simulation
inferredcites →https://doi.org/10.1145/3404835.3463241openalex-snapshot
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems
inferredcites →https://doi.org/10.1145/3437963.3441762openalex-snapshot
Temporal Meta-path Guided Explainable Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482420openalex-snapshot
Counterfactual Explainable Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557548openalex-snapshot
An Exploratory Study of Information Cocoon on Short-form Video Platform
inferredcites →https://doi.org/10.1145/3527546.3527559openalex-snapshot
Report on the 1st simulation for information retrieval workshop (Sim4IR 2021) at SIGIR 2021
inferredcites →https://doi.org/10.1145/3533020openalex-snapshot
Learning Implicit and Explicit Multi-task Interactions for Information Extraction
inferredcites →https://doi.org/10.1145/3539618.3591683openalex-snapshot
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond
inferredcites →https://doi.org/10.1145/3543846openalex-snapshot
Reinforcement Learning based Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3589334.3645447openalex-snapshot
An In-depth Investigation of User Response Simulation for Conversational Search
inferredcites →https://doi.org/10.1145/3596510openalex-snapshot
Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
inferredcites →https://doi.org/10.1145/3643709openalex-snapshot
Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces
inferredcites →https://doi.org/10.1145/3650041openalex-snapshot
Analysing Utterances in LLM-Based User Simulation for Conversational Search
inferredcites →https://doi.org/10.1145/3696410.3714858openalex-snapshot
A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
inferredcites →https://doi.org/10.1287/isre.2019.0876openalex-snapshot
Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework
inferredcites →https://doi.org/10.1561/1500000066openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1561/1500000098openalex-snapshot
User Simulation for Evaluating Information Access Systems
inferredcites →https://doi.org/10.1609/aaai.v33i01.33014902openalex-snapshot
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.621openalex-snapshot
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
inferredcites →https://doi.org/10.18653/v1/2024.findings-naacl.271openalex-snapshot
RecMind: Large Language Model Powered Agent For Recommendation
inferredcites →https://doi.org/10.18653/v1/2024.naacl-long.83openalex-snapshot
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.2139/ssrn.4607026openalex-snapshot
S3: Social-network Simulation System with Large Language Model-Empowered Agents
inferredcites →https://doi.org/10.24963/ijcai.2019/883openalex-snapshot
Sequential Recommender Systems: Challenges, Progress and Prospects
inferredcites →https://doi.org/10.2991/assehr.k.220105.146openalex-snapshot
The Influence of Social Network and Information Cocoon on Major Selection
inferredcites →https://doi.org/10.3390/su11164371openalex-snapshot
Industry 5.0—A Human-Centric Solution
inferredcites →https://doi.org/10.3758/bf03211315openalex-snapshot
Artifactual power curves in forgetting
inferredcites →https://doi.org/10.3758/bf03211316openalex-snapshot
Genuine power curves in forgetting: A quantitative analysis of individual subject forgetting functions
inferredcites →https://doi.org/10.48550/arxiv.2402.09176openalex-snapshot
Large Language Model Simulator for Cold-Start Recommendation
inferredcites →https://doi.org/10.52202/079017-2000openalex-snapshot
SGLang: Efficient Execution of Structured Language Model Programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Recommendation in the Era of Generative Artificial Intelligence
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LLM-MAD: Multi-agent LLM Reasoning for Multi-modal Shilling Attack Detection in Online Platforms
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_48openalex-snapshot
Knowledge-Enhanced Multi-agent for LLM-Based Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_61openalex-snapshot
Sim4IA-Bench: A User Simulation Benchmark Suite for Next Query and Utterance Prediction
inferred← citeshttps://doi.org/10.1007/978-981-92-2369-5_20openalex-snapshot
Fuzzy-Guided Agentic Memory for LLM-Based Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-92-5696-9_27openalex-snapshot
LLM-Aligned Contrastive Signed Graph Convolutional Networks for Accurate Academic Early Warning
inferred← citeshttps://doi.org/10.1007/s10796-026-10787-3openalex-snapshot
Beyond the Lookup: Simulating Realistic User Uncertainty for the Evaluation of Conversational Agentic Recommenders
inferred← citeshttps://doi.org/10.1007/s41019-025-00288-9openalex-snapshot
An Exploratory Study on Information Cocoon in Recommender Systems
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InsurAgent: A Large Language Model–Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance
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AI-generated language remains systematically distinguishable from human communication
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Generative AI-enabled chatbots for user-centred design: a state-of-the-art review
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inferred← citeshttps://doi.org/10.1108/ajim-04-2026-0358openalex-snapshot
User engagement behaviours with identity-disclosed social bots on social media: the role of perceived human–machine differences
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Dynamic Incentive Strategies for Smart EV Charging Stations: A LLM-Driven User Digital Twin Approach
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Research on the Application of AI Agent in Postgraduate Education
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Prompt Optimization for User Simulation in Conversational Recommender Systems: A Multi-Objective Framework
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Towards Simulating Social Influence Dynamics with LLM-Based Multi-Agents
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