USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Chenghui, Li, Peiyi, Wu, Haoze, Wen, Yiri, Deng, Bingfeng, Xiong, Hongyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
by: Shi, Chenxi, et al.
Published: (2024)
by: Shi, Chenxi, et al.
Published: (2024)
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
by: Zhang, Changshuo, et al.
Published: (2024)
by: Zhang, Changshuo, et al.
Published: (2024)
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
by: Qin, Qiyu, et al.
Published: (2026)
by: Qin, Qiyu, et al.
Published: (2026)
A Survey on Diffusion Models for Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)
by: Lin, Jianghao, et al.
Published: (2024)
Modeling User Viewing Flow Using Large Language Models for Article Recommendation
by: Liu, Zhenghao, et al.
Published: (2023)
by: Liu, Zhenghao, et al.
Published: (2023)
A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)
by: Wu, Likang, et al.
Published: (2023)
On Negative-aware Preference Optimization for Recommendation
by: Ding, Chenlu, et al.
Published: (2025)
by: Ding, Chenlu, et al.
Published: (2025)
Decision-aware User Simulation Agent for Evaluating Conversational Recommender Systems
by: Li, Yuan-Chi, et al.
Published: (2026)
by: Li, Yuan-Chi, et al.
Published: (2026)
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
by: Kawamura, Kazuki, et al.
Published: (2025)
by: Kawamura, Kazuki, et al.
Published: (2025)
Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)
by: Wang, Maolin, et al.
Published: (2023)
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
by: Valkanas, Antonios, et al.
Published: (2024)
by: Valkanas, Antonios, et al.
Published: (2024)
LettinGo: Explore User Profile Generation for Recommendation System
by: Wang, Lu, et al.
Published: (2025)
by: Wang, Lu, et al.
Published: (2025)
A Survey of Retrieval Algorithms in Ad and Content Recommendation Systems
by: Zhao, Yu, et al.
Published: (2024)
by: Zhao, Yu, et al.
Published: (2024)
Universal Item Tokenization for Transferable Generative Recommendation
by: Zheng, Bowen, et al.
Published: (2025)
by: Zheng, Bowen, et al.
Published: (2025)
How Can Recommender Systems Benefit from Large Language Models: A Survey
by: Lin, Jianghao, et al.
Published: (2023)
by: Lin, Jianghao, et al.
Published: (2023)
LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
by: Huang, Chengkai, et al.
Published: (2025)
by: Huang, Chengkai, et al.
Published: (2025)
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
by: Huang, Chengkai, et al.
Published: (2024)
by: Huang, Chengkai, et al.
Published: (2024)
Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms
by: Yan, Yuwei, et al.
Published: (2025)
by: Yan, Yuwei, et al.
Published: (2025)
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Slow Thinking for Sequential Recommendation
by: Zhang, Junjie, et al.
Published: (2025)
by: Zhang, Junjie, et al.
Published: (2025)
CoNRec: Context-Discerning Negative Recommendation with LLMs
by: Chen, Xinda, et al.
Published: (2026)
by: Chen, Xinda, et al.
Published: (2026)
Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)
by: Kim, Kyungho, et al.
Published: (2025)
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
by: Hu, Zheng, et al.
Published: (2024)
by: Hu, Zheng, et al.
Published: (2024)
SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
by: Bougie, Nicolas, et al.
Published: (2025)
by: Bougie, Nicolas, et al.
Published: (2025)
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
by: Yang, Zhisheng, et al.
Published: (2025)
by: Yang, Zhisheng, et al.
Published: (2025)
LLMs for User Interest Exploration in Large-scale Recommendation Systems
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
A Survey on LLM-based News Recommender Systems
by: Wang, Rongyao, et al.
Published: (2025)
by: Wang, Rongyao, et al.
Published: (2025)
A Survey on LLM-powered Agents for Recommender Systems
by: Peng, Qiyao, et al.
Published: (2025)
by: Peng, Qiyao, et al.
Published: (2025)
GPRec: Bi-level User Modeling for Deep Recommenders
by: Wang, Yejing, et al.
Published: (2024)
by: Wang, Yejing, et al.
Published: (2024)
Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
by: Mao, Chunyan, et al.
Published: (2024)
by: Mao, Chunyan, et al.
Published: (2024)
Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models
by: Yong, Qian, et al.
Published: (2025)
by: Yong, Qian, et al.
Published: (2025)
Improving LLM-based Recommendation with Self-Hard Negatives from Intermediate Layers
by: Li, Bingqian, et al.
Published: (2026)
by: Li, Bingqian, et al.
Published: (2026)
User-centric Music Recommendations
by: Castillo, Jaime Ramirez, et al.
Published: (2025)
by: Castillo, Jaime Ramirez, et al.
Published: (2025)
Request-Only Optimization for Recommendation Systems
by: Guo, Liang, et al.
Published: (2025)
by: Guo, Liang, et al.
Published: (2025)
Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
by: Cai, Shihao, et al.
Published: (2024)
by: Cai, Shihao, et al.
Published: (2024)
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models
by: Huang, Chengkai, et al.
Published: (2025)
by: Huang, Chengkai, et al.
Published: (2025)
PersonaX: A Recommendation Agent Oriented User Modeling Framework for Long Behavior Sequence
by: Shi, Yunxiao, et al.
Published: (2025)
by: Shi, Yunxiao, et al.
Published: (2025)
Similar Items
-
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
by: Shi, Chenxi, et al.
Published: (2024) -
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
by: Zhang, Changshuo, et al.
Published: (2024) -
Unbiased Rectification for Sequential Recommender Systems Under Fake Orders
by: Qin, Qiyu, et al.
Published: (2026) -
A Survey on Diffusion Models for Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024) -
Modeling User Viewing Flow Using Large Language Models for Article Recommendation
by: Liu, Zhenghao, et al.
Published: (2023)