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

Thumbnail Image
Identifiers
URI: https://hdl.handle.net/10016/38939
ISSN: 1875-6883
DOI: https://doi.org/10.2991/ijcis.11.1.90
UXXI: AR/0000022942
Files
salary_IJCIS_2018.pdf (601.58 KB)
Publication date
2018-06-01
Defense date
Authors
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Atlantis Press
Impact
Google Scholar
Export
Research Projects
Organizational Units
Journal Issue
Abstract
The 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.
Description
Keywords
Salary prediction, E-recruitment, Job market, Machine learning, Ensemble methods
Bibliographic citation
Martín, 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.
Collections
DIT - RYSC - Artículos en Revistas Internacionales / International Journals