Fair candidate ranking with spatial partitioning: Lessons from the SIOP ML competition

Ian Burke; Robin Burke; Goran Kuljanin

Fair candidate ranking with spatial partitioning: Lessons from the SIOP ML competition

Ian Burke
, Robin Burke
, Goran Kuljanin

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2967
State	Published - 2021
Event	2021 Workshop on Recommender Systems for Human Resources, RECSYS IN HR 2021 - Amsterdam, Netherlands Duration: Sep 27 2021 → Oct 1 2021

ASJC Scopus Subject Areas

General Computer Science

Cite this

@article{774539b70b754ce582adfba4a7e4958f,

title = "Fair candidate ranking with spatial partitioning: Lessons from the SIOP ML competition",

author = "Ian Burke and Robin Burke and Goran Kuljanin",

note = "Publisher Copyright: Copyright {\textcopyright} 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 2021 Workshop on Recommender Systems for Human Resources, RECSYS IN HR 2021 ; Conference date: 27-09-2021 Through 01-10-2021",

year = "2021",

language = "English",

volume = "2967",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

}

TY - JOUR

T1 - Fair candidate ranking with spatial partitioning

T2 - 2021 Workshop on Recommender Systems for Human Resources, RECSYS IN HR 2021

AU - Burke, Ian

AU - Burke, Robin

AU - Kuljanin, Goran

PY - 2021

Y1 - 2021

UR - https://www.scopus.com/pages/publications/85116898035

UR - https://www.scopus.com/pages/publications/85116898035#tab=citedBy

M3 - Conference article

AN - SCOPUS:85116898035

SN - 1613-0073

VL - 2967

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 27 September 2021 through 1 October 2021

ER -

Fair candidate ranking with spatial partitioning: Lessons from the SIOP ML competition

ASJC Scopus Subject Areas

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