Cover Image

Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sukiennik, Nicholas, Wang, Haoyu, Zeng, Zailin, Gao, Chen, Li, Yong
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)

Enhancing ID-based Recommendation with Large Language Models
by: Chen, Lei, et al.
Published: (2024)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)

Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation
by: Sukiennik, Nicholas, et al.
Published: (2024)

A Model-based Multi-Agent Personalized Short-Video Recommender System
by: Zhou, Peilun, et al.
Published: (2024)

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models
by: Lin, Xueting, et al.
Published: (2024)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
by: Qiao, Shutong, et al.
Published: (2024)

Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)

RecMind: Large Language Model Powered Agent For Recommendation
by: Wang, Yancheng, et al.
Published: (2023)

Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System
by: Kim, Sein, et al.
Published: (2024)

How Can Recommender Systems Benefit from Large Language Models: A Survey
by: Lin, Jianghao, et al.
Published: (2023)

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
by: Huang, Xu, et al.
Published: (2023)

Decision-aware User Simulation Agent for Evaluating Conversational Recommender Systems
by: Li, Yuan-Chi, et al.
Published: (2026)

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
by: Bougie, Nicolas, et al.
Published: (2025)

User Behavior Simulation with Large Language Model based Agents
by: Wang, Lei, et al.
Published: (2023)

Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
by: Yong, Qian, et al.
Published: (2025)

Towards Efficient and Effective Unlearning of Large Language Models for Recommendation
by: Wang, Hangyu, et al.
Published: (2024)

Data Imputation using Large Language Model to Accelerate Recommendation System
by: Ding, Zhicheng, et al.
Published: (2024)

Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
by: Chen, Kexin, et al.
Published: (2023)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)

Mitigating Propensity Bias of Large Language Models for Recommender Systems
by: Zhang, Guixian, et al.
Published: (2024)

USimAgent: Large Language Models for Simulating Search Users
by: Zhang, Erhan, et al.
Published: (2024)

AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
by: Yan, Yuwei, et al.
Published: (2025)

A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)

Large Language Models Enhanced Hyperbolic Space Recommender Systems
by: Cheng, Wentao, et al.
Published: (2025)

Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
by: Huang, Chengkai, et al.
Published: (2025)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
by: Li, Qingyao, et al.
Published: (2024)

An Automatic Graph Construction Framework based on Large Language Models for Recommendation
by: Shan, Rong, et al.
Published: (2024)

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems
by: Shang, Yu, et al.
Published: (2025)

Recommender Systems in the Era of Large Language Models (LLMs)
by: Zhao, Zihuai, et al.
Published: (2023)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
by: Vats, Arpita, et al.
Published: (2024)

Representation Learning with Large Language Models for Recommendation
by: Ren, Xubin, et al.
Published: (2023)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
by: Shan, Rong, et al.
Published: (2025)

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
by: Xi, Yunjia, et al.
Published: (2025)

Modeling User Viewing Flow Using Large Language Models for Article Recommendation
by: Liu, Zhenghao, et al.
Published: (2023)

Unlocking the Potential of Large Language Models for Explainable Recommendations
by: Luo, Yucong, et al.
Published: (2023)

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
by: Jia, Jian, et al.
Published: (2024)

Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation
by: Zheng, Bowen, et al.
Published: (2024)