Imagen de Portada

The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vardasbi, Ali, de Rijke, Maarten, Diaz, Fernando, Dehghani, Mostafa
Formato:	Preprint
Publicado:	2023
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models
por: Heuss, Maria, et al.
Publicado: (2024)

Towards Two-Stage Counterfactual Learning to Rank
por: Gupta, Shashank, et al.
Publicado: (2025)

A First Look at Selection Bias in Preference Elicitation for Recommendation
por: Gupta, Shashank, et al.
Publicado: (2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
por: Hager, Philipp, et al.
Publicado: (2025)

Proximal Ranking Policy Optimization for Practical Safety in Counterfactual Learning to Rank
por: Gupta, Shashank, et al.
Publicado: (2024)

Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
por: Kang, Jingwei, et al.
Publicado: (2024)

Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank
por: Gupta, Shashank, et al.
Publicado: (2024)

Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
por: Huang, Jin, et al.
Publicado: (2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
por: Hager, Philipp, et al.
Publicado: (2025)

The Unfairness of Multifactorial Bias in Recommendation
por: Mansoury, Masoud, et al.
Publicado: (2026)

Toward Automatic Group Membership Annotation for Group Fairness Evaluation
por: Chen, Fumian, et al.
Publicado: (2024)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
por: Kim, To Eun, et al.
Publicado: (2024)

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium
por: Xu, Chen, et al.
Publicado: (2026)

Query Exposure Prediction for Groups of Documents in Rankings
por: Jaenich, Thomas, et al.
Publicado: (2024)

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models
por: Liu, Yu-An, et al.
Publicado: (2024)

ERASE -- A Real-World Aligned Benchmark for Unlearning in Recommender Systems
por: Lubitzsch, Pierre, et al.
Publicado: (2026)

FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval Algorithms
por: Xu, Chen, et al.
Publicado: (2025)

Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?
por: Penha, Gustavo, et al.
Publicado: (2024)

Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
por: Xu, Chen, et al.
Publicado: (2025)

Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation
por: Gholinejad, Nemat, et al.
Publicado: (2025)

Beyond Exposure: Optimizing Ranking Fairness with Non-linear Time-Income Functions
por: Li, Xuancheng, et al.
Publicado: (2026)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
por: Zhao, Ziqi, et al.
Publicado: (2025)

FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
por: Xu, Chen, et al.
Publicado: (2024)

Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
por: Hager, Philipp, et al.
Publicado: (2024)

Revisiting Language Models in Neural News Recommender Systems
por: Zhao, Yuyue, et al.
Publicado: (2025)

Robust Information Retrieval
por: Liu, Yu-An, et al.
Publicado: (2024)

Understanding Visual Saliency of Outlier Items in Product Search
por: Sarvi, Fatemeh, et al.
Publicado: (2025)

Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
por: Liu, Yuanna, et al.
Publicado: (2025)

A Reproducibility Study of Product-side Fairness in Bundle Recommendation
por: Nguyen, Huy-Son, et al.
Publicado: (2025)

Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
por: Siro, Clemencia, et al.
Publicado: (2024)

Orcheo: A Modular Full-Stack Platform for Conversational Search
por: Jiang, Shaojie, et al.
Publicado: (2026)

Multi-Step Semantic Reasoning in Generative Retrieval
por: Dong, Steven, et al.
Publicado: (2026)

An Offline Metric for the Debiasedness of Click Models
por: Deffayet, Romain, et al.
Publicado: (2023)

Controlled Retrieval-augmented Context Evaluation for Long-form RAG
por: Ju, Jia-Huei, et al.
Publicado: (2025)

Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models
por: Kang, Jingwei, et al.
Publicado: (2025)

The Relevance of Item-Co-Exposure For Exposure Bias Mitigation
por: Krause, Thorsten, et al.
Publicado: (2024)

Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits
por: Mansoury, Masoud, et al.
Publicado: (2024)

An Empirical Study of Evaluating Long-form Question Answering
por: Xian, Ning, et al.
Publicado: (2025)

Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems
por: Lubitzsch, Pierre, et al.
Publicado: (2025)

Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces
por: Kang, Jingwei, et al.
Publicado: (2026)