Designing Fair Ranking Schemes
Summary: System to adjust weights in numeric-weighted rankings to meet fairness criteria (e.g., proportionality). Treats rankings as points in weight-space; efficiently finds fairness-satisfying regions and suggests minimal weight tweaks, enabling interactive, pre-processed exploration on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abolfazl Asudeh (University of Michigan)
- 2. H. V. Jagadish (University of Michigan)
- 3. Julia Stoyanovich (New York University)
- 4. Gautam Das (University of Texas)
BibTeX Citation
@inproceedings{asudeh_sigmod19,
title = {{Designing Fair Ranking Schemes}},
author = {Asudeh, Abolfazl and Jagadish, H. V. and Stoyanovich, Julia and Das, Gautam},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300079},
url = {https://dl.acm.org/doi/10.1145/3299869.3300079},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010688884 |
| 344 | The Onion Technique: Indexing for Linear Optimization Queries | 2000 | SIGMOD | 0.00020463118 |
| 1,092 | Regret-Minimizing Representative Databases | 2010 | VLDB | 0.00012052099 |
| 1,897 | Probabilistic Ranking of Database Query Results | 2004 | VLDB | 9.3988624e-05 |
| 3,425 | Angle-based Space Partitioning for Efficient Parallel Skyline Computation | 2008 | SIGMOD | 7.2968417e-05 |
| 4,856 | Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative | 2017 | SIGMOD | 6.3655902e-05 |
| 5,624 | On Obtaining Stable Rankings | 2019 | VLDB | 6.0456849e-05 |
| 6,736 | RRR: Rank-Regret Representative | 2019 | SIGMOD | 5.6777742e-05 |
| 8,557 | Discovering the Skyline of Web Databases | 2016 | VLDB | 5.3017168e-05 |
| 12,425 | Query Reranking As A Service | 2016 | VLDB | 4.9605343e-05 |
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