A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
Fuente:
arXiv
Saved in:
| Main Authors: | Deldjoo, Yashar, Nazary, Fatemeh |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024)
by: Rahmani, Hossein A., et al.
Published: (2024)
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
by: Tourani, Ali, et al.
Published: (2025)
by: Tourani, Ali, et al.
Published: (2025)
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025)
by: Nazary, Fatemeh, et al.
Published: (2025)
TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
by: Banerjee, Ashmi, et al.
Published: (2026)
by: Banerjee, Ashmi, et al.
Published: (2026)
SynthTRIPs: A Knowledge-Grounded Framework for Benchmark Query Generation for Personalized Tourism Recommenders
by: Banerjee, Ashmi, et al.
Published: (2025)
by: Banerjee, Ashmi, et al.
Published: (2025)
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
by: Deldjoo, Yashar
Published: (2024)
by: Deldjoo, Yashar
Published: (2024)
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
by: Deldjoo, Yashar, et al.
Published: (2025)
by: Deldjoo, Yashar, et al.
Published: (2025)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
by: Bojic, Ljubisa, et al.
Published: (2025)
by: Bojic, Ljubisa, et al.
Published: (2025)
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems
by: Maragheh, Reza Yousefi, et al.
Published: (2025)
by: Maragheh, Reza Yousefi, et al.
Published: (2025)
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
by: Li, Lichi, et al.
Published: (2024)
by: Li, Lichi, et al.
Published: (2024)
Recommendation with Generative Models
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models
by: Li, Jianhong, et al.
Published: (2026)
by: Li, Jianhong, et al.
Published: (2026)
Looking for Fairness in Recommender Systems
by: Logé, Cécile
Published: (2025)
by: Logé, Cécile
Published: (2025)
Understanding Language Modeling Paradigm Adaptations in Recommender Systems: Lessons Learned and Open Challenges
by: Zhang, Lemei, et al.
Published: (2024)
by: Zhang, Lemei, et al.
Published: (2024)
Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation
by: Deldjoo, Yashar, et al.
Published: (2025)
by: Deldjoo, Yashar, et al.
Published: (2025)
Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
by: Epure, Elena V., et al.
Published: (2025)
by: Epure, Elena V., et al.
Published: (2025)
Mitigating Propensity Bias of Large Language Models for Recommender Systems
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
Large Language Models Enhanced Hyperbolic Space Recommender Systems
by: Cheng, Wentao, et al.
Published: (2025)
by: Cheng, Wentao, 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)
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
by: Shan, Rong, et al.
Published: (2024)
by: Shan, Rong, et al.
Published: (2024)
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
by: Sah, Chandan Kumar
Published: (2025)
by: Sah, Chandan Kumar
Published: (2025)
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
by: Zhang, Tong
Published: (2025)
by: Zhang, Tong
Published: (2025)
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
by: Chen, Junze, et al.
Published: (2025)
by: Chen, Junze, et al.
Published: (2025)
A Survey on Large Language Models for Recommendation
by: Wu, Likang, et al.
Published: (2023)
by: Wu, Likang, et al.
Published: (2023)
Data Imputation using Large Language Model to Accelerate Recommendation System
by: Ding, Zhicheng, et al.
Published: (2024)
by: Ding, Zhicheng, et al.
Published: (2024)
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
by: Vats, Arpita, et al.
Published: (2024)
by: Vats, Arpita, 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)
A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model
by: Xiang, Ao, et al.
Published: (2024)
by: Xiang, Ao, et al.
Published: (2024)
A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges
by: Raja, Rahul, et al.
Published: (2025)
by: Raja, Rahul, 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)
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
by: Vassøy, Bjørnar, et al.
Published: (2023)
by: Vassøy, Bjørnar, et al.
Published: (2023)
OmniReview: A Large-scale Benchmark and LLM-enhanced Framework for Realistic Reviewer Recommendation
by: Huang, Yehua, et al.
Published: (2026)
by: Huang, Yehua, et al.
Published: (2026)
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
by: Jeon, Minhye, et al.
Published: (2024)
by: Jeon, Minhye, et al.
Published: (2024)
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2024)
by: Sah, Chandan Kumar, et al.
Published: (2024)
Similar Items
-
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
by: Rahmani, Hossein A., et al.
Published: (2024) -
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024) -
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender Systems
by: Nazary, Fatemeh, et al.
Published: (2025) -
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
by: Tourani, Ali, et al.
Published: (2025) -
ViLLA-MMBench: A Unified Benchmark Suite for LLM-Augmented Multimodal Movie Recommendation
by: Nazary, Fatemeh, et al.
Published: (2025)