MithraRanking: A system for responsible ranking design

Yifan Guan; Abolfazl Asudeh; Pranav Mayuram; H. V. Jagadish; Julia Stoyanovich; Gerome Miklau; Gautam Das

doi:10.1145/3299869.3320244

MithraRanking: A system for responsible ranking design

Yifan Guan, Abolfazl Asudeh, Pranav Mayuram, H. V. Jagadish, Julia Stoyanovich, Gerome Miklau, Gautam Das

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data
Publisher	Association for Computing Machinery
Pages	1913-1916
Number of pages	4
ISBN (Electronic)	9781450356435
DOIs	https://doi.org/10.1145/3299869.3320244
State	Published - Jun 25 2019
Event	2019 International Conference on Management of Data, SIGMOD 2019 - Amsterdam, Netherlands Duration: Jun 30 2019 → Jul 5 2019

Publication series

Name	Proceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)	0730-8078

Conference

Conference	2019 International Conference on Management of Data, SIGMOD 2019
Country	Netherlands
City	Amsterdam
Period	6/30/19 → 7/5/19

Keywords

Data Ethics
Fairness
Linear Evaluators
Robustness
Stability
Transparency

ASJC Scopus subject areas

Software
Information Systems

Access to Document

10.1145/3299869.3320244

Cite this

Guan, Y., Asudeh, A., Mayuram, P., Jagadish, H. V., Stoyanovich, J., Miklau, G., & Das, G. (2019). MithraRanking: A system for responsible ranking design. In SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data (pp. 1913-1916). (Proceedings of the ACM SIGMOD International Conference on Management of Data). Association for Computing Machinery. https://doi.org/10.1145/3299869.3320244

MithraRanking : A system for responsible ranking design. / Guan, Yifan; Asudeh, Abolfazl; Mayuram, Pranav; Jagadish, H. V.; Stoyanovich, Julia; Miklau, Gerome; Das, Gautam.

SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. Association for Computing Machinery, 2019. p. 1913-1916 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Guan, Y, Asudeh, A, Mayuram, P, Jagadish, HV, Stoyanovich, J, Miklau, G & Das, G 2019, MithraRanking: A system for responsible ranking design. in SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. Proceedings of the ACM SIGMOD International Conference on Management of Data, Association for Computing Machinery, pp. 1913-1916, 2019 International Conference on Management of Data, SIGMOD 2019, Amsterdam, Netherlands, 6/30/19. https://doi.org/10.1145/3299869.3320244

Guan Y, Asudeh A, Mayuram P, Jagadish HV, Stoyanovich J, Miklau G et al. MithraRanking: A system for responsible ranking design. In SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. Association for Computing Machinery. 2019. p. 1913-1916. (Proceedings of the ACM SIGMOD International Conference on Management of Data). https://doi.org/10.1145/3299869.3320244

Guan, Yifan ; Asudeh, Abolfazl ; Mayuram, Pranav ; Jagadish, H. V. ; Stoyanovich, Julia ; Miklau, Gerome ; Das, Gautam. / MithraRanking : A system for responsible ranking design. SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data. Association for Computing Machinery, 2019. pp. 1913-1916 (Proceedings of the ACM SIGMOD International Conference on Management of Data).

@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",

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",

note = "2019 International Conference on Management of Data, SIGMOD 2019 ; Conference date: 30-06-2019 Through 05-07-2019",

}

TY - GEN

T1 - MithraRanking

T2 - 2019 International Conference on Management of Data, SIGMOD 2019

AU - Guan, Yifan

AU - Asudeh, Abolfazl

AU - Mayuram, Pranav

AU - Jagadish, H. V.

AU - Stoyanovich, Julia

AU - Miklau, Gerome

AU - Das, Gautam

PY - 2019/6/25

Y1 - 2019/6/25

N2 - 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.

AB - 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.

KW - Data Ethics

KW - Fairness

KW - Linear Evaluators

KW - Robustness

KW - Stability

KW - Transparency

UR - http://www.scopus.com/inward/record.url?scp=85069446453&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85069446453&partnerID=8YFLogxK

U2 - 10.1145/3299869.3320244

DO - 10.1145/3299869.3320244

M3 - Conference contribution

AN - SCOPUS:85069446453

T3 - Proceedings of the ACM SIGMOD International Conference on Management of Data

SP - 1913

EP - 1916

BT - SIGMOD 2019 - Proceedings of the 2019 International Conference on Management of Data

PB - Association for Computing Machinery

Y2 - 30 June 2019 through 5 July 2019

ER -