An e-Recruitment System Exploiting Candidates’ Social Presence

• Published in: Current Trends in Web Engineering Vol. 9396; pp. 153 - 162
• Main Authors: Faliagka, Evanthia, Rigou, Maria, Sirmakessis, Spiros
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2015; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Data mining; e-recruitment systems; Information retrieval; Personality mining; Social web mining; Software Engineering
• ISBN: 3319247999; 9783319247991
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-24800-4_13

Applicant personality is a crucial criterion in many job positions. Choosing applicants whose personality traits are compatible with job positions has been shown to increase their satisfaction levels, as well as the rate of employee retention. However, the task of assessing candidates’ personality is not addressed in today’s online recruitment systems, but is typically handled during the interview process. The rapid deployment of social web services has made candidates’ social activity much more transparent, giving us the opportunity to infer features of candidate personality with web mining techniques. In this work, a novel approach is proposed and evaluated for automatically extracting candidates’ personality traits based on their social media use.