From Queries to Candidates: Exploring Search and Source Interaction Behavior of Recruiters
- ,
- ,
- Maria Gäde
- ,
- ,
- Jobindex,
- Humboldt University of Berlin
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages 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 StatesISBN (Print)
9798400712906ISBN (Electronic)
979-8-4007-1290-6/25/03Publication 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 RetrievalAbstract
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.
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Citations
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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.
Access to documents
Related Event
Title
ACM SIGIR Conference on Human Information Interaction and Retrieval
Event type
ConferenceDegree of recognition
International eventDate
24/02/2025 - 28/03/2025Location
State Library of VictoriaMelbourneAustralia
