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Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorMartínez Fernández, Ignacio
dc.contributor.authorMariello, Andrea
dc.contributor.authorBattiti, Roberto
dc.contributor.authorHernández Gutiérrez, José Alberto
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.contributor.funderMinisterio de Educación (España)es
dc.contributor.funderUniversidad Carlos III de Madrides
dc.date.accessioned2023-11-23T11:36:19Z
dc.date.available2023-11-23T11:36:19Z
dc.date.issued2018-06-01
dc.description.abstractThe explosion of the Internet has deeply affected the labour market. Identifying most rewarded and demanded items in job offers is key for recruiters and candidates. This work analyses 4, 000 job offers from a Spanish IT recruitment portal. We conclude that (1) experience is more rewarded than education, (2) we identify five profile clusters based on required skills and (3) we develop an accurate salary-range classifier by using tree-based ensembles.es
dc.description.sponsorshipJ. A. Hernandez and I. Martíın would like to acknowledge the support of the national projects TEXEO (TEC2016-80339-R) and BigDatAAM (FIS2013-47532-C3-3-P), funded by the Ministerio de Economía y Competitividad of SPAIN. The work of A. Mariello and R. Battiti was supported by the University of Trento, Italy. The work of R. Battiti was also supported by the Russian Science Foundation through the Project entitled Global Optimization, Supercomputing Computations, and Applications under Grant 15-11-0022. Finally, I. Martín would like to acknowledge the support of the Spanish Ministry of education for financing his FPU grant (FPU15/03518) at Universidad Carlos III de Madrid.en
dc.format.extent18es
dc.format.mimetypeapplication/pdfen
dc.identifier.bibliographicCitationMartín, I., Mariello, A., Battiti, R., & Hernández, J. A. (2018). Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study. International Journal of Computational Intelligence Systems 11(1), pp. 1192 -1209.es
dc.identifier.doihttps://doi.org/10.2991/ijcis.11.1.90
dc.identifier.issn1875-6883
dc.identifier.publicationfirstpage1192es
dc.identifier.publicationissue1es
dc.identifier.publicationlastpage1209es
dc.identifier.publicationtitleInternational Journal of Computational Intelligence Systemsen
dc.identifier.publicationvolume11es
dc.identifier.urihttps://hdl.handle.net/10016/38939
dc.identifier.uxxiAR/0000022942
dc.language.isoengen
dc.publisherAtlantis Pressen
dc.relation.projectIDGobierno de España. FIS2013-47532-C3-3-Pes
dc.relation.projectIDGobierno de España. TEC2016-80339-Res
dc.relation.projectIDGobierno de España. FPU15/03518es
dc.rights© 2018 by the authorsen
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaInformáticaes
dc.subject.otherSalary predictionen
dc.subject.otherE-recruitmenten
dc.subject.otherJob marketen
dc.subject.otherMachine learningen
dc.subject.otherEnsemble methodses
dc.titleSalary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Studyen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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