Cover Image

Quantifying Query Fairness Under Unawareness

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jaenich, Thomas, Moreo, Alejandro, Fabris, Alessandro, McDonald, Graham, Esuli, Andrea, Ounis, Iadh, Sebastiani, Fabrizio
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Learning to Quantify
by: Esuli, Andrea, et al.
Published: (2023)

Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank
by: Liang, Zeyan, et al.
Published: (2025)

Generative Relevance Feedback and Convergence of Adaptive Re-Ranking: University of Glasgow Terrier Team at TREC DL 2023
by: Parry, Andrew, et al.
Published: (2024)

Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
by: Dey, Ritajit, et al.
Published: (2026)

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
by: Meng, Zeyuan, et al.
Published: (2025)

A Directional Diffusion Graph Transformer for Recommendation
by: Yi, Zixuan, et al.
Published: (2024)

LURE-RAG: Lightweight Utility-driven Reranking for Efficient RAG
by: Chandra, Manish, et al.
Published: (2026)

Lost in Transliteration: Bridging the Script Gap in Neural IR
by: Chari, Andreas, et al.
Published: (2025)

Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer
by: Chari, Andreas, et al.
Published: (2025)

All Eyes on the Ranker: Participatory Auditing to Surface Blind Spots in Ranked Search Results
by: Rezk, Anna Marie, et al.
Published: (2026)

SARA: A Collection of Sensitivity-Aware Relevance Assessments
by: McKechnie, Jack, et al.
Published: (2024)

Who Benefits from RAG? The Role of Exposure, Utility and Attribution Bias
by: Dehghan, Mahdi, et al.
Published: (2026)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
by: McKechnie, Jack, et al.
Published: (2025)

Are Generative AI Agents Effective Personalized Financial Advisors?
by: Takayanagi, Takehiro, et al.
Published: (2025)

FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement
by: Chen, Fumian, et al.
Published: (2025)

Generating Query Recommendations via LLMs
by: Bacciu, Andrea, et al.
Published: (2024)

Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
by: McGuire, Niall, et al.
Published: (2024)

Predicting Award Winning Research Papers at Publication Time
by: Vella, Riccardo, et al.
Published: (2024)

SelRoute: Query-Type-Aware Routing for Long-Term Conversational Memory Retrieval
by: McKee, Matthew
Published: (2026)

LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops
by: Xu, Chen, et al.
Published: (2023)

Demographically-Inspired Query Variants Using an LLM
by: Alaofi, Marwah, et al.
Published: (2025)

RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation
by: Tian, Fangzheng, et al.
Published: (2026)

Quantifying Feature Importance for Online Content Moderation
by: Tessa, Benedetta, et al.
Published: (2025)

Improving Document Retrieval Coherence for Semantically Equivalent Queries
by: Campese, Stefano, et al.
Published: (2025)

QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
by: Dhole, Kaustubh D., et al.
Published: (2024)

Fair Agents: Balancing Multistakeholder Alignment in Multi-Agent Personalization Systems
by: Forster, Andrea, et al.
Published: (2026)

Characterising Topic Familiarity and Query Specificity Using Eye-Tracking Data
by: He, Jiaman, et al.
Published: (2025)

Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
by: Yun, JungMin, et al.
Published: (2026)

Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study
by: Alaofi, Marwah, et al.
Published: (2025)

Can We Hide Machines in the Crowd? Quantifying Equivalence in LLM-in-the-loop Annotation Tasks
by: He, Jiaman, et al.
Published: (2025)

Aligned Query Expansion: Efficient Query Expansion for Information Retrieval through LLM Alignment
by: Yang, Adam, et al.
Published: (2025)

Revisiting Query Variants: The Advantage of Retrieval Over Generation of Query Variants for Effective QPP
by: Tian, Fangzheng, et al.
Published: (2025)

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

Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance
by: Rampisela, Theresia Veronika, et al.
Published: (2024)

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
by: Zhu, Xinyu, et al.
Published: (2024)

Graph Neural Re-Ranking via Corpus Graph
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2024)

Learn to be Fair without Labels: a Distribution-based Learning Framework for Fair Ranking
by: Chen, Fumian, et al.
Published: (2024)

Improving Search Suggestions for Alphanumeric Queries
by: Agrawal, Samarth, et al.
Published: (2026)