Abstract
The exponential growth of Internet allowed the development of a market of online job search sites. This work aims at presenting the E-Gen system (Automatic Job Offer Processing system for Human Resources). E-Gen will implement several complex tasks: an analysis and categorization of jobs offers which are unstructured text documents (e-mails of job offers possibly with an attached document), an analysis and a relevance ranking of the candidate answers. We present a strategy to resolve the last task: After a process of filtering and lemmatisation, we use vectorial representation and different similarity measures. The quality of ranking obtained is evaluated using ROC curves.
Cite
CITATION STYLE
Kessler, R., Béchet, N., Roche, M., El-Bèze, M., & Torres-Moreno, J. M. (2008). Automatic profiling system for ranking candidates answers in human resources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5333, pp. 625–634). Springer Verlag. https://doi.org/10.1007/978-3-540-88875-8_86
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