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

Research output: Conference Article in Proceeding or Book/Report chapter › Conference abstract in proceedings › Research › 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)

Original language	English
Title of host publication	Proceedings of the Nineteenth ACM Conference on Recommender Systems
Number of pages	5
Place of Publication	New York, USA
Publisher	Association for Computing Machinery
Publication date	22 Sept 2025
Pages	1373–1377
ISBN (Print)	9798400713644
ISBN (Electronic)	9798400713644
DOIs	https://doi.org/10.1145/3705328.3748499
Publication status	Published - 22 Sept 2025
Event	ACM Conference on Recommender Systems - O2 universum Congress Centre, Prague, Czech Republic Duration: 22 Sept 2025 → 26 Sept 2025 Conference number: 19 https://recsys.acm.org/recsys25/

Conference

Conference	ACM Conference on Recommender Systems
Number	19
Location	O2 universum Congress Centre
Country/Territory	Czech Republic
City	Prague
Period	22/09/2025 → 26/09/2025
Internet address	https://recsys.acm.org/recsys25/

Series	RecSys'25

Keywords

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

Access to Document

10.1145/3705328.3748499Licence: Unspecified

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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.; 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",

isbn = "9798400713644",

series = "RecSys'25",

publisher = "Association for Computing Machinery",

pages = "1373–1377",

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

address = "United States",

url = "https://recsys.acm.org/recsys25/",

}

Bogers, T , Kaya, M, Decorte, J-J, Johnson, C & Bied, G 2025, Fifth Workshop on Recommender Systems for Human Resources (RecSys in HR 2025). in Proceedings of the Nineteenth ACM Conference on Recommender Systems. Association for Computing Machinery, New York, USA , RecSys'25, pp. 1373–1377, ACM Conference on Recommender Systems, Prague, Czech Republic, 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. p. 1373–1377 (RecSys'25).

Research output: Conference Article in Proceeding or Book/Report chapter › Conference abstract in proceedings › Research › 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

SN - 9798400713644

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 - 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

Conference

Keywords

Access to Document

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Cite this