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MithraRanking: A System for Responsible Ranking Design

Summary: MithraRanking helps users pick weights for multi-criteria rankings within an acceptable region, aiming for stable, fair results. Focuses on responsible ranking design by formalizing stability and fairness guiding weight selection within boundaries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5753
Venue
SIGMOD
Year
2019
Pagerank
-
Overall Rank
13,310 | 7.50%
DOI
10.1145/3299869.3320244

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
3,687 On Detecting Cherry-picked Trendlines 2020 VLDB 6.8376481e-05
6,462 Tailoring Data Source Distributions for Fairness-aware Data Integration 2021 VLDB 5.0479645e-05
6,895 Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes 2021 SIGMOD 4.8879337e-05
7,665 Fairly Evaluating and Scoring Items in a Data Set 2020 VLDB 4.6799478e-05
10,963 FairHash: A Fair and Memory/Time-efficient Hashmap 2024 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,577 Designing Fair Ranking Schemes 2019 SIGMOD 0.00011276814
5,558 On Obtaining Stable Rankings 2019 VLDB 5.4375292e-05
7,191 A Nutritional Label for Rankings 2018 SIGMOD 4.8003424e-05
11,891 Query Reranking As A Service 2016 VLDB 4.1905499e-05
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