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Rank Aggregation with Proportionate Fairness

Summary: Rank aggregation under proportionate fairness (RAPF) for non-binary protected groups using Kemeny distance; IPF subproblem under Kendall-Tau. Binary attributes: greedy exact IPF; multi-valued: ExactMV-IPF optimal, ApproxMV-IPF 2-approx. RandAlgRAPF/AlgRAPF yield 2+ IPF-approx. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb6751975cca4768a
Venue
SIGMOD
Year
2022
Pagerank
5.4886e-05
Overall Rank
7,588 | 48.99%
DOI
10.1145/3514221.3517865

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wei_sigmod22,
        title = {{Rank Aggregation with Proportionate Fairness}},
        author = {Wei, Dong and Islam, Md Mouinul and Schieber, Baruch and Roy, Senjuti Basu},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517865},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517865},
        year = {2022}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,379 Designing Fair Ranking Schemes 2019 SIGMOD 0.0001086418
6,850 Rank aggregation with ties: Experiments and Analysis 2015 VLDB 5.6654235e-05
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