Saved in:
| Main Author: | Logé, Cécile |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.12242 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bias vs Bias -- Dawn of Justice: A Fair Fight in Recommendation Systems
by: Kheya, Tahsin Alamgir, et al.
Published: (2025)
by: Kheya, Tahsin Alamgir, et al.
Published: (2025)
Causal Intervention for Fairness in Multi-behavior Recommendation
by: Wang, Xi, et al.
Published: (2022)
by: Wang, Xi, et al.
Published: (2022)
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, et al.
Published: (2024)
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
by: Aird, Amanda, et al.
Published: (2023)
by: Aird, Amanda, et al.
Published: (2023)
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025)
by: Nguyen, Huy-Son, et al.
Published: (2025)
Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation
by: Xia, Chongjun, et al.
Published: (2026)
by: Xia, Chongjun, et al.
Published: (2026)
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Exploring How Fair Model Representations Relate to Fair Recommendations
by: Vassøy, Bjørnar, et al.
Published: (2026)
by: Vassøy, Bjørnar, et al.
Published: (2026)
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)
Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
by: Klenitskiy, Anton, et al.
Published: (2024)
by: Klenitskiy, Anton, 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)
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
by: Sah, Chandan Kumar, et al.
Published: (2025)
by: Sah, Chandan Kumar, et al.
Published: (2025)
Request-Only Optimization for Recommendation Systems
by: Guo, Liang, et al.
Published: (2025)
by: Guo, Liang, et al.
Published: (2025)
Embedding in Recommender Systems: A Survey
by: Wang, Maolin, et al.
Published: (2023)
by: Wang, Maolin, et al.
Published: (2023)
Towards Empathetic Conversational Recommender Systems
by: Zhang, Xiaoyu, et al.
Published: (2024)
by: Zhang, Xiaoyu, et al.
Published: (2024)
Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
Eliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View
by: Liao, Hao, et al.
Published: (2025)
by: Liao, Hao, et al.
Published: (2025)
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, et al.
Published: (2025)
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
by: Naeimi, Mohammad, et al.
Published: (2025)
by: Naeimi, Mohammad, et al.
Published: (2025)
Memory Assisted LLM for Personalized Recommendation System
by: Chen, Jiarui
Published: (2025)
by: Chen, Jiarui
Published: (2025)
RecKG: Knowledge Graph for Recommender Systems
by: Kwon, Junhyuk, et al.
Published: (2025)
by: Kwon, Junhyuk, et al.
Published: (2025)
Towards LLM-Enhanced Group Recommender Systems
by: Lubos, Sebastian, et al.
Published: (2025)
by: Lubos, Sebastian, et al.
Published: (2025)
Datasets for Navigating Sensitive Topics in Recommendation Systems
by: Kovacs, Amelia, et al.
Published: (2025)
by: Kovacs, Amelia, et al.
Published: (2025)
Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)
by: Kim, Kyungho, et al.
Published: (2025)
Recommender Systems for Sustainability: Overview and Research Issues
by: Felfernig, Alexander, et al.
Published: (2024)
by: Felfernig, Alexander, et al.
Published: (2024)
Causal Discovery in Recommender Systems: Example and Discussion
by: Cavenaghi, Emanuele, et al.
Published: (2024)
by: Cavenaghi, Emanuele, et al.
Published: (2024)
Evaluating Ensemble Methods for News Recommender Systems
by: Gray, Alexander, et al.
Published: (2024)
by: Gray, Alexander, et al.
Published: (2024)
LLM-Powered User Simulator for Recommender System
by: Zhang, Zijian, et al.
Published: (2024)
by: Zhang, Zijian, et al.
Published: (2024)
Disaggregating Embedding Recommendation Systems with FlexEMR
by: Huang, Yibo, et al.
Published: (2024)
by: Huang, Yibo, et al.
Published: (2024)
A Survey on Diffusion Models for Recommender Systems
by: Lin, Jianghao, et al.
Published: (2024)
by: Lin, Jianghao, et al.
Published: (2024)
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
by: Jiang, Zhenhao, et al.
Published: (2024)
by: Jiang, Zhenhao, et al.
Published: (2024)
The Diversity Paradox revisited: Systemic Effects of Feedback Loops in Recommender Systems
by: Barlacchi, Gabriele, et al.
Published: (2026)
by: Barlacchi, Gabriele, et al.
Published: (2026)
Writing Style Matters: An Examination of Bias and Fairness in Information Retrieval Systems
by: Cao, Hongliu
Published: (2024)
by: Cao, Hongliu
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)
Counterfactual Reciprocal Recommender Systems for User-to-User Matching
by: Kawamura, Kazuki, et al.
Published: (2025)
by: Kawamura, Kazuki, et al.
Published: (2025)
CTRL-Rec: Controlling Recommender Systems With Natural Language
by: Carroll, Micah, et al.
Published: (2025)
by: Carroll, Micah, et al.
Published: (2025)
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)
Conversational Recommendation System using NLP and Sentiment Analysis
by: Talegaonkar, Piyush, et al.
Published: (2025)
by: Talegaonkar, Piyush, et al.
Published: (2025)
Similar Items
-
Bias vs Bias -- Dawn of Justice: A Fair Fight in Recommendation Systems
by: Kheya, Tahsin Alamgir, et al.
Published: (2025) -
Causal Intervention for Fairness in Multi-behavior Recommendation
by: Wang, Xi, et al.
Published: (2022) -
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System
by: Deldjoo, Yashar, et al.
Published: (2024) -
Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
by: Aird, Amanda, et al.
Published: (2023) -
A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025)