Volume 11, Issue 1, 2018, Pages 1192 - 1209
Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study
Authors
Ignacio Martín1, *, ignmarti@it.uc3m.es, Andrea Mariello2, andrea.mariello@unitn.it, Roberto Battiti2, roberto.battiti@unitn.it, José Alberto Hernández1, jahgutie@it.uc3m.es
* Corresponding author
Corresponding Author
Ignacio Martínignmarti@it.uc3m.es
Received 12 March 2018, Accepted 20 June 2018, Available Online 5 July 2018.
- DOI
- 10.2991/ijcis.11.1.90How to use a DOI?
- Keywords
- Salary prediction; e-Recruitment; Job Market; Machine Learning; Ensemble methods
- 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.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Ignacio Martín AU - Andrea Mariello AU - Roberto Battiti AU - José Alberto Hernández PY - 2018 DA - 2018/07/05 TI - Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study JO - International Journal of Computational Intelligence Systems SP - 1192 EP - 1209 VL - 11 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.11.1.90 DO - 10.2991/ijcis.11.1.90 ID - Martín2018 ER -