Fairness in Preference Queries: Social Choice Theories Meet Data Management
Summary: Tutorial bringing social-choice preference aggregation into data management for large user/item sets, producing representative rankings or top-k results. Surveys fairness guarantees and limitations across methods, emphasizing computational implications and open research directions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Senjuti Basu Roy (New Jersey Institute of Technology)
- 2. Baruch Schieber (New Jersey Institute of Technology)
- 3. Nimrod Talmon (Ben Gurion University)
BibTeX Citation
@article{roy_vldb24,
title = {{Fairness in Preference Queries: Social Choice Theories Meet Data Management}},
author = {Roy, Senjuti Basu and Schieber, Baruch and Talmon, Nimrod},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4225--4228},
doi = {10.14778/3685800.3685841},
url = {https://doi.org/10.14778/3685800.3685841},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,511 | On Fair Epsilon Net and Geometric Hitting Set | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,608 | Group Recommendation: Semantics and Efficiency | 2009 | VLDB | 7.2609441e-05 |
| 6,582 | From Group Recommendations to Group Formation | 2015 | SIGMOD | 5.8364579e-05 |
| 7,449 | Rank Aggregation with Proportionate Fairness | 2022 | SIGMOD | 5.614576e-05 |
| 9,220 | Satisfying Complex Top-k Fairness Constraints by Preference Substitutions | 2023 | VLDB | 5.3039758e-05 |
| 11,419 | Equitable Top-k Results for Long Tail Data | 2023 | SIGMOD | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,824 | Fairly Evaluating and Scoring Items in a Data Set | 2020 | VLDB |
| 2 | 5,334 | Operationalizing Individual Fairness with Pairwise Fair Representations | 2020 | VLDB |
| 3 | 6,709 | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification | 2022 | SIGMOD |
| 4 | 11,419 | Equitable Top-k Results for Long Tail Data | 2023 | SIGMOD |
| 5 | 5,631 | Tailoring Data Source Distributions for Fairness-aware Data Integration | 2021 | VLDB |
| 6 | 7,642 | A System for Management and Analysis of Preference Data | 2014 | VLDB |
| 7 | 3,984 | Learning User Preferences By Adaptive Pairwise Comparison | 2015 | VLDB |
| 8 | 7,449 | Rank Aggregation with Proportionate Fairness | 2022 | SIGMOD |
| 9 | 1,597 | Designing Fair Ranking Schemes | 2019 | SIGMOD |
| 10 | 9,220 | Satisfying Complex Top-k Fairness Constraints by Preference Substitutions | 2023 | VLDB |