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The Potential of Recommender Systems for Directing Job Search

A Large-Scale Experiment

Bibliographic Data

ID19049822
AuthorsLuc Behaghel (0000-0001-9717-6181, corresponding author), Sofia Dromundo, Marc Gurgand (0000-0002-0493-018X), Yagan Hazard, Thomas Zuber (0000-0002-2946-3506)
Year2024
Publication date2024-01-01
Open AccessYes
TypeARTICLE
VenueSSRN Electronic Journal (REPOSITORY)
Journal identifiersISSN: 1556-5068 • E-ISSN: 1556-5068
PublisherRELX Group (Netherlands) (PUBLISHER • NL)
DOI10.2139/ssrn.4717694
OpenAlexW4391604745
LanguageEN
Citations received2

Business · Data science · Geography · Information retrieval · Recommender system · Auction Theory and Applications · Chemistry · Computer Science · Consumer Market Behavior and Pricing · Experimental Behavioral Economics Studies

  • Why Don’t Jobseekers Search More? Barriers and Returns to Search on a Job Matching Platform

    Kate Vyborny, Robert Garlick et al.•Journal of Labor Economics•2025

  • New information, new interests? Impact of an occupation finder on vocational choices of lower secondary students

    Open Access•Maria Esther Oswald-Egg, Katherine M Caves•Journal of Vocational Education…•2026

Citations per year2
Citation span2025 - 2026 (2)
Highly citedNo

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Open DOIOpen Access
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