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2018 | OriginalPaper | Chapter

How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics

Authors : Andrzej Janusz, Sebastian Stawicki, Michał Drewniak, Krzysztof Ciebiera, Dominik Ślęzak, Krzysztof Stencel

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

Publisher: Springer International Publishing

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Abstract

We describe a recruitment support system aiming to help recruiters in finding candidates who are likely to be interested in a given job offer. We present the architecture of that system and explain roles of its main modules. We also give examples of analytical processes supported by the system. In the paper, we focus on a data processing chain that utilizes domain knowledge for the extraction of meaningful features representing pairs of candidates and offers. Moreover, we discuss the usage of a word2vec model for finding concise vector representations of the offers, based on their short textual descriptions. Finally, we present results of an empirical evaluation of our system.

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previous chapter Rules Induced from Rough Sets in Information Tables with Continuous Values

BIZON is a name of a popular Polish combine harvester. https://en.wikipedia.org/wiki/Bizon_(company).

Jobboard Finder: What is the online recruitment market worth today? https://www.jobboardfinder.com/en/e-recruitment

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Title: How to Match Jobs and Candidates - A Recruitment Support System Based on Feature Engineering and Advanced Analytics
Authors: Andrzej Janusz
Sebastian Stawicki
Michał Drewniak
Krzysztof Ciebiera
Dominik Ślęzak
Krzysztof Stencel
Publisher: Springer International Publishing
Book: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Print ISBN: 978-3-319-91475-6

Electronic ISBN: 978-3-319-91476-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-91476-3_42

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