Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Wanyan, Xinye, Hettiachchi, Danula, Ma, Chenglong, Xu, Ziqi, Chan, Jeffrey |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
por: Wanyan, Xinye, et al.
Publicado: (2026)
por: Wanyan, Xinye, et al.
Publicado: (2026)
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
por: Ma, Chenglong, et al.
Publicado: (2025)
por: Ma, Chenglong, et al.
Publicado: (2025)
ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
por: Sun, Shuoqi, et al.
Publicado: (2025)
por: Sun, Shuoqi, et al.
Publicado: (2025)
Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment
por: Schnabel, Julian A., et al.
Publicado: (2025)
por: Schnabel, Julian A., et al.
Publicado: (2025)
Enhancing User Intent for Recommendation Systems via Large Language Models
por: Xu, Xiaochuan, et al.
Publicado: (2025)
por: Xu, Xiaochuan, et al.
Publicado: (2025)
Walert: Putting Conversational Search Knowledge into Action by Building and Evaluating a Large Language Model-Powered Chatbot
por: Cherumanal, Sachin Pathiyan, et al.
Publicado: (2024)
por: Cherumanal, Sachin Pathiyan, et al.
Publicado: (2024)
Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
por: Xuan, Yueqing, et al.
Publicado: (2023)
por: Xuan, Yueqing, et al.
Publicado: (2023)
SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
por: Bougie, Nicolas, et al.
Publicado: (2025)
por: Bougie, Nicolas, et al.
Publicado: (2025)
The Application of Large Language Models in Recommendation Systems
por: Yu, Peiyang, et al.
Publicado: (2025)
por: Yu, Peiyang, et al.
Publicado: (2025)
ULMRec: User-centric Large Language Model for Sequential Recommendation
por: Shao, Minglai, et al.
Publicado: (2024)
por: Shao, Minglai, et al.
Publicado: (2024)
Evaluating Conversational Recommender Systems via Large Language Models: A User-Centric Framework
por: Chen, Nuo, et al.
Publicado: (2025)
por: Chen, Nuo, et al.
Publicado: (2025)
Large Language Model Simulator for Cold-Start Recommendation
por: Huang, Feiran, et al.
Publicado: (2024)
por: Huang, Feiran, et al.
Publicado: (2024)
Identifying Breakdowns in Conversational Recommender Systems using User Simulation
por: Bernard, Nolwenn, et al.
Publicado: (2024)
por: Bernard, Nolwenn, et al.
Publicado: (2024)
Collaborative Large Language Model for Recommender Systems
por: Zhu, Yaochen, et al.
Publicado: (2023)
por: Zhu, Yaochen, et al.
Publicado: (2023)
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
por: Wang, Jianling, et al.
Publicado: (2025)
por: Wang, Jianling, et al.
Publicado: (2025)
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
por: Yoon, Se-eun, et al.
Publicado: (2024)
por: Yoon, Se-eun, et al.
Publicado: (2024)
Retention Induced Biases in a Recommendation System with Heterogeneous Users
por: Ma, Shichao
Publicado: (2024)
por: Ma, Shichao
Publicado: (2024)
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
por: Ji, Kaixin, et al.
Publicado: (2024)
por: Ji, Kaixin, et al.
Publicado: (2024)
Characterizing Information Seeking Processes with Multiple Physiological Signals
por: Ji, Kaixin, et al.
Publicado: (2024)
por: Ji, Kaixin, et al.
Publicado: (2024)
LLM-Powered User Simulator for Recommender System
por: Zhang, Zijian, et al.
Publicado: (2024)
por: Zhang, Zijian, et al.
Publicado: (2024)
RecGPT-Mobile: On-Device Large Language Models for User Intent Understanding in Taobao Feed Recommendation
por: Zhang, Bin, et al.
Publicado: (2026)
por: Zhang, Bin, et al.
Publicado: (2026)
A Serendipitous Recommendation System Considering User Curiosity
por: Xu, Zhelin, et al.
Publicado: (2025)
por: Xu, Zhelin, et al.
Publicado: (2025)
Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
por: Fang, Yi, et al.
Publicado: (2025)
por: Fang, Yi, et al.
Publicado: (2025)
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
por: Kieu, Hai-Dang, et al.
Publicado: (2024)
por: Kieu, Hai-Dang, et al.
Publicado: (2024)
A Lay User Explainable Food Recommendation System Based on Hybrid Feature Importance Extraction and Large Language Models
por: Tessa, Melissa, et al.
Publicado: (2025)
por: Tessa, Melissa, et al.
Publicado: (2025)
Limitations of Current Evaluation Practices for Conversational Recommender Systems and the Potential of User Simulation
por: Bernard, Nolwenn, et al.
Publicado: (2025)
por: Bernard, Nolwenn, et al.
Publicado: (2025)
User Behavior Simulation with Large Language Model based Agents
por: Wang, Lei, et al.
Publicado: (2023)
por: Wang, Lei, et al.
Publicado: (2023)
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
por: Shi, Tianhao, et al.
Publicado: (2023)
por: Shi, Tianhao, et al.
Publicado: (2023)
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
por: Jeon, Minhye, et al.
Publicado: (2024)
por: Jeon, Minhye, et al.
Publicado: (2024)
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
por: Yang, Mingdai, et al.
Publicado: (2025)
por: Yang, Mingdai, et al.
Publicado: (2025)
Uplift Modeling for Target User Attacks on Recommender Systems
por: Wang, Wenjie, et al.
Publicado: (2024)
por: Wang, Wenjie, et al.
Publicado: (2024)
Large Language Model driven Policy Exploration for Recommender Systems
por: Wang, Jie, et al.
Publicado: (2025)
por: Wang, Jie, et al.
Publicado: (2025)
Enhancing Recommender Systems with Large Language Model Reasoning Graphs
por: Wang, Yan, et al.
Publicado: (2023)
por: Wang, Yan, et al.
Publicado: (2023)
Can Large Language Models Assess Serendipity in Recommender Systems?
por: Tokutake, Yu, et al.
Publicado: (2024)
por: Tokutake, Yu, et al.
Publicado: (2024)
Improve Temporal Awareness of LLMs for Sequential Recommendation
por: Chu, Zhendong, et al.
Publicado: (2024)
por: Chu, Zhendong, et al.
Publicado: (2024)
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model
por: Yan, Bencheng, et al.
Publicado: (2025)
por: Yan, Bencheng, et al.
Publicado: (2025)
UserSimCRS v2: Simulation-Based Evaluation for Conversational Recommender Systems
por: Bernard, Nolwenn, et al.
Publicado: (2025)
por: Bernard, Nolwenn, et al.
Publicado: (2025)
Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
por: Yong, Qian, et al.
Publicado: (2025)
por: Yong, Qian, et al.
Publicado: (2025)
Towards Fair Large Language Model-based Recommender Systems without Costly Retraining
por: Li, Jin, et al.
Publicado: (2026)
por: Li, Jin, et al.
Publicado: (2026)
LLMs for User Interest Exploration in Large-scale Recommendation Systems
por: Wang, Jianling, et al.
Publicado: (2024)
por: Wang, Jianling, et al.
Publicado: (2024)
Ejemplares similares
-
Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
por: Wanyan, Xinye, et al.
Publicado: (2026) -
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
por: Ma, Chenglong, et al.
Publicado: (2025) -
ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
por: Sun, Shuoqi, et al.
Publicado: (2025) -
Multi-stage Large Language Model Pipelines Can Outperform GPT-4o in Relevance Assessment
por: Schnabel, Julian A., et al.
Publicado: (2025) -
Enhancing User Intent for Recommendation Systems via Large Language Models
por: Xu, Xiaochuan, et al.
Publicado: (2025)