Home // ICIW 2012, The Seventh International Conference on Internet and Web Applications and Services // View article

Application of Machine Learning Algorithms to an Online Recruitment System

Authors:
Evanthia Faliagka
Kostas Ramantas
Athanasios Tsakalidis
Giannis Tzimas

Keywords: e-recruitment; personality mining; recommendation systems; data mining

Abstract:
In this work, we present a novel approach for evaluating job applicants in online recruitment systems, leveraging machine learning algorithms to solve the candidate ranking problem. An application of our approach is implemented in the form of a prototype system, whose functionality is showcased and evaluated in a real-world recruitment scenario. The proposed system extracts a set of objective criteria from the applicants’ LinkedIn profile, and infers their personality characteristics using linguistic analysis on their blog posts. Our system was found to perform consistently compared to human recruiters; thus, it can be trusted for the automation of applicant ranking and personality mining.

Pages: 215 to 220

Copyright: Copyright (c) IARIA, 2012

Publication date: May 27, 2012

Published in: conference

ISSN: 2308-3972

ISBN: 978-1-61208-200-4

Location: Stuttgart, Germany

Dates: from May 27, 2012 to June 1, 2012