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authFullName_s : Guillaume Bied

Using Data from job seekers, job offers and past hirings to learn a Job Recommender System: the VADORE Project

Guillaume Bied , Solal Nathan , Elia Perennes , Christophe Gaillac , Philippe Caillou , et al.
AI for HR and Public Employment Services, Feb 2023, Ghent (BE), Belgium
Conference papers hal-04025000v1
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Designing labor market recommender systems: the importance of job seeker preferences and competition

Victor Alfonso Naya , Guillaume Bied , Philippe Caillou , Bruno Crépon , Christophe Gaillac , et al.
4. IDSC of IZA Workshop: Matching Workers and Jobs Online - New Developments and Opportunities for Social Science and Practice, Oct 2021, Online, France
Conference papers hal-03540319v1
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Recommender system in a non-stationary context: recommending job ads in pandemic times

Guillaume Bied , Solal Nathan , Elia Pérennes , Victor Alfonso Naya , Philippe Caillou , et al.
FEAST workshop ECML-PKDD 2022, Sep 2022, Grenoble, France
Conference papers hal-03831247v1

Gender fairness in job recommendation: a case study

Guillaume Bied , Christophe Gaillac , Morgane Hoffmann , Solal Nathan , Philippe Caillou , et al.
AI for HR and Public Employment Services, Feb 2023, Ghent (BE), Belgium
Conference papers hal-04025006v1
Image document

Congestion-Avoiding Job Recommendation with Optimal Transport

Guillaume Bied , Elia Perennes , Victor Alfonso Naya , Philippe Caillou , Bruno Crépon , et al.
FEAST workshop ECML-PKDD 2021, Sep 2021, Bilbao, Spain
Conference papers hal-03540316v1