Using Data from job seekers, job offers and past hirings to learn a Job Recommender System: the VADORE Project - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2023

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

Abstract

The Vador Project started in 2018 between the French Public Employment Service Pole Emploi, computer scientists from Paris Saclay and economist from CREST. The project aims to learn a new recommender system from past hirings and job seekers and offers data. We will present both the past, current and futur research and technical challenges faced by the projects and its contributions.

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Artificial Intelligence [cs.AI]

Philippe Caillou  : Connect in order to contact the contributor

https://inria.hal.science/hal-04025000

Submitted on : Saturday, March 11, 2023-5:38:52 PM

Last modification on : Thursday, November 28, 2024-3:38:02 PM

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hal-04025000 , version 1 (11-03-2023)

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  • HAL Id : hal-04025000 , version 1

Cite

Guillaume Bied, Solal Nathan, Elia Perennes, Christophe Gaillac, Philippe Caillou, et al.. Using Data from job seekers, job offers and past hirings to learn a Job Recommender System: the VADORE Project. AI for HR and Public Employment Services, Feb 2023, Ghent (BE), Belgium. ⟨hal-04025000⟩

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X GENES CNRS INRIA EHESS ENSAE X-LMS X-DEP-MECA CREST ENSAI UT1-CAPITOLE CENTRALESUPELEC INRIA2 UNIV-PARIS-SACLAY X-CREST IP_PARIS INRAE LISN GS-COMPUTER-SCIENCE LISN-AO
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