@inproceedings{f5581896c40748579afbb11ed970b404,
title = "MithraRanking: A system for responsible ranking design",
abstract = "Items from a database are often ranked based on a combination of criteria. The weight given to each criterion in the combination can greatly affect the ranking produced. Often, a user may have a general sense of the relative importance of the different criteria, but beyond this may have the flexibility, within limits, to choose combinations that weigh these criteria differently with an acceptable region. We demonstrate MithraRanking, a system that helps users choose criterion weights that lead to “better” rankings in terms of having desirable properties while remaining within the acceptable region. The goodness properties we focus on are stability and fairness.",
keywords = "Data Ethics, Fairness, Linear Evaluators, Robustness, Stability, Transparency",
author = "Yifan Guan and Abolfazl Asudeh and Pranav Mayuram and Jagadish, {H. V.} and Julia Stoyanovich and Gerome Miklau and Gautam Das",
note = "Funding Information: The work of Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, and H. V. Jagadish was supported in part by NSF grants No. 1741022 and 1250880. The work of Julia Stoyanovich was supported in part by NSF grants No. 1926250 and 1916647. The work of Gerome Miklau was supported in part by NSF Grant No. 1741254. The work of Gautam Das was supported in part by grant W911NF-15-1-0020 from the Army Research Office, NSF grant No. 1745925, and a grant from AT&T.; 2019 International Conference on Management of Data, SIGMOD 2019 ; Conference date: 30-06-2019 Through 05-07-2019",
year = "2019",
month = jun,
day = "25",
doi = "10.1145/3299869.3320244",
language = "English (US)",
series = "Proceedings of the ACM SIGMOD International Conference on Management of Data",
publisher = "Association for Computing Machinery",
pages = "1913--1916",
booktitle = "SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data",
}