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A Personality Mining System for Automated Applicant Ranking in Online Recruitment Systems

  • Evanthia Faliagka
  • Lefteris Kozanidis
  • Sofia Stamou
  • Athanasios Tsakalidis
  • Giannis Tzimas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6757)

Abstract

In the last decades the explosion of ICT has opened up new avenues regarding peoples’ accessibility to new job opportunities. Current technological advances in conjunction with people’s online presence provide a great opportunity to automate the recruitment process and make it more effective. In this paper, we propose a novel approach for improving the efficiency of e-recruitment systems. Our approach relies on the linguistic analysis of data available for job applicants, in order to infer the applicants’ personality traits and rank them accordingly. To showcase the functionality of our method, we employed it in a web based e-recruitment system that we implemented.

Keywords

e-recruitment sentiment analysis recommendation systems AHP 

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Evanthia Faliagka
    • 1
  • Lefteris Kozanidis
    • 1
  • Sofia Stamou
    • 1
    • 3
  • Athanasios Tsakalidis
    • 1
  • Giannis Tzimas
    • 2
  1. 1.Computer Engineering and Informatics DepartmentUniversity of PatrasPatrasGreece
  2. 2.Department of Applied Informatics in Management & Economy, Faculty of Management and EconomicsTechnological Educational Institute of MessolonghiMessolonghiGreece
  3. 3.Department of Archives and Library ScienceIonian UniversityGreece

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