Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)

Toine Bogers; Mesut Kaya; Jens-Joris Decorte; Chris Johnson; Guillaume Bied

doi:10.1145/3705328.3748499

Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)

Toine Bogers
, Mesut Kaya
, Jens-Joris Decorte
, Chris Johnson
, Guillaume Bied

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferenceabstrakt i proceedings › Forskning › peer review

Abstract

Proceedings of the 5th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025)

Originalsprog	Engelsk
Titel	Proceedings of the Nineteenth ACM Conference on Recommender Systems
Antal sider	5
Udgivelsessted	New York, USA
Forlag	Association for Computing Machinery
Publikationsdato	22 sep. 2025
Sider	1373–1377
ISBN (Elektronisk)	9798400713644
DOI	https://doi.org/10.1145/3705328.3748499
Status	Udgivet - 22 sep. 2025
Begivenhed	RecSys '25: 19th ACM Conference on Recommender Systems - O2 universum Congress Centre, Prague, Tjekkiet Varighed: 22 sep. 2025 → 26 sep. 2025 Konferencens nummer: 19 https://recsys.acm.org/recsys25/

Konference

Konference	RecSys '25: 19th ACM Conference on Recommender Systems
Nummer	19
Lokation	O2 universum Congress Centre
Land/Område	Tjekkiet
By	Prague
Periode	22/09/2025 → 26/09/2025
Internetadresse	https://recsys.acm.org/recsys25/

Navn	RecSys'25

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10.1145/3705328.3748499Licens: Ikke-specificeret

Citationsformater

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title = "Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)",

abstract = "Proceedings of the 5th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025)",

keywords = "algorithmic hiring, AI 4 work, job recommendation, skill extraction, candidate recommendation, person-job fit, talent search, computational HR",

author = "Toine Bogers and Mesut Kaya and Jens-Joris Decorte and Chris Johnson and Guillaume Bied",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.; RecSys '25: 19th ACM Conference on Recommender Systems, RecSys 2025 ; Conference date: 22-09-2025 Through 26-09-2025",

year = "2025",

month = sep,

day = "22",

doi = "10.1145/3705328.3748499",

language = "English",

series = "RecSys'25",

publisher = "Association for Computing Machinery",

pages = "1373–1377",

booktitle = "Proceedings of the Nineteenth ACM Conference on Recommender Systems",

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Bogers, T , Kaya, M, Decorte, J-J, Johnson, C & Bied, G 2025, Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025). i Proceedings of the Nineteenth ACM Conference on Recommender Systems. Association for Computing Machinery, New York, USA , RecSys'25, s. 1373–1377, RecSys '25: 19th ACM Conference on Recommender Systems, Prague, Tjekkiet, 22/09/2025. https://doi.org/10.1145/3705328.3748499

Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025). / Bogers, Toine ; Kaya, Mesut; Decorte, Jens-Joris et al.
Proceedings of the Nineteenth ACM Conference on Recommender Systems. New York, USA : Association for Computing Machinery, 2025. s. 1373–1377 (RecSys'25).

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferenceabstrakt i proceedings › Forskning › peer review

TY - ABST

T1 - Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)

AU - Bogers, Toine

AU - Kaya, Mesut

AU - Decorte, Jens-Joris

AU - Johnson, Chris

AU - Bied, Guillaume

N1 - Conference code: 19

PY - 2025/9/22

Y1 - 2025/9/22

N2 - Proceedings of the 5th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025)

AB - Proceedings of the 5th Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025)

KW - algorithmic hiring

KW - AI 4 work

KW - job recommendation

KW - skill extraction

KW - candidate recommendation

KW - person-job fit

KW - talent search

KW - computational HR

UR - https://doi.org/10.1145/3705328.3748499

UR - https://ceur-ws.org/Vol-4046/

U2 - 10.1145/3705328.3748499

DO - 10.1145/3705328.3748499

M3 - Conference abstract in proceedings

T3 - RecSys'25

SP - 1373

EP - 1377

BT - Proceedings of the Nineteenth ACM Conference on Recommender Systems

PB - Association for Computing Machinery

CY - New York, USA

T2 - RecSys '25: 19th ACM Conference on Recommender Systems

Y2 - 22 September 2025 through 26 September 2025

ER -

Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025)

Abstract

Konference

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