RT Journal Article
T1 Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study
A1 Martínez Fernández, Ignacio
A1 Mariello, Andrea
A1 Battiti, Roberto
A1 Hernández Gutiérrez, José Alberto
AB 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.
PB Atlantis Press
SN 1875-6883
YR 2018
FD 2018-06-01
LK https://hdl.handle.net/10016/38939
UL https://hdl.handle.net/10016/38939
LA eng
NO J. 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.
DS e-Archivo
RD 17 jul. 2024