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Dissatisfaction Induced by Pairwise Swaps

Fabris A.
•
Silvello G.
•
Susto G. A.
•
Biega A. J.
2023
  • conference object

Abstract
Fairness is increasingly recognized as an important property of information access systems. Pairwise fairness is a measure of equity in ranking whose normative grounding has not been clearly studied nor discussed in the literature. In this work, we target this gap by providing a clear interpretation for this family of measures, by demonstrating and remedying its key limitations, and by analysing its relationship to other measures of fair ranking.
Archivio
https://hdl.handle.net/11368/3107441
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85169135368
https://ceur-ws.org/Vol-3448/
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/3107441/1/2023-IIR_FSSB.pdf
Soggetti
  • algorithmic fairne

  • information acce

  • ranking

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