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From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 112-128 (17 pages)

Publication milestones

  • Published - 29/04/2025

Publication status

Published - 29/04/2025

Place of publication

New York, USA

Publisher

Association for Computing Machinery, United States
9798400712906

ISBN (Electronic)

979-8-4007-1290-6/25/03

Publication IDs

  • ORCID: /0000-0003-0716-676X/work/183182967
  • Scopus: 105005265380

Host publication title

Proceedings of the 2025 ACM SIGIR Conference on Human Information Interaction and Retrieval

Abstract

Recruitment is a professional search domain that has been largely overlooked in IR research, even though better support of recruiters could have a big impact on job seekers, companies and society as a whole. In this paper, we analyze the search formulation and source selection behavior of the recruiters at one of Scandinavia’s largest job portals and recruitment agencies using search logs for close to 18,000 recruitment search tasks. We provide an analysis of the search sessions of recruiters in terms search tactics, query operators, query length, term re-use and filter usage, and break down their behavior both by task type and task complexity. We also relate their short-term tactics to different learning stages in the search process and investigate their influence on search success. We find that identifying and assessing relevant candidates for a job posting is a complex task: recruiters usually submit multiple queries during sessions that can last for hours and that increase in complexity. Recruiters all spend more time per query as their session progresses. We also observed query reformulation strategies that indicate distinct patterns of knowledge gaining during sessions. Relating these tactics to positive responses from candidates we aim at predicting successful strategies.

Publication metrics

Funding Details

The work by Mesut Kaya and Toine Bogers was supported both by the JobMatch project (Innovation Fund Denmark grant number 0175-000005B) by the FairMatch project (Innovation Fund Denmark grant number 3195-00003B). The work by Toine Bogers was also supported by the Pioneer Centre for AI (DNRF grant number P1). The authors acknowledge the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands ACM SIGIR CHIIR 2025 was hosted. We pay our respect to their Elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today and their connections to land, sea, sky, and community.

Related Event

Title

ACM SIGIR Conference on Human Information Interaction and Retrieval

Event type

Conference

Degree of recognition

International event

Date

24/02/2025 - 28/03/2025

Location

State Library of VictoriaMelbourneAustralia