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An e-Recruitment System Exploiting Candidates' Social Presence

机译:开发候选人社会地位的电子招聘系统

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摘要

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.
机译:申请人的人格是许多工作岗位的关键标准。事实表明,选择个性特征与工作岗位相匹配的申请人可以提高他们的满意度,以及员工保留率。但是,评估候选人的个性的任务在当今的在线招聘系统中并未解决,但通常在面试过程中处理。社交网络服务的快速部署使候选人的社交活动更加透明,这使我们有机会利用网络挖掘技术来推断候选人个性的特征。在这项工作中,提出了一种新颖的方法并对其进行了评估,该方法可根据候选人的社交媒体使用情况自动提取其个性特征。

著录项

  • 来源
    《Current trends in web engineering》|2015年|153-162|共10页
  • 会议地点 Rotterdam(NL)
  • 作者单位

    Department of Computer and Informatics Engineering, Technological Institution of Western Greece, National Road Antirrio-Ioannina 30020, Antirrio, Greece;

    Department of Computer Engineering and Informatics, University of Patras, Rion Campus, Patras 26500, Greece,Hellenic Open University, Parodos Aristotelous 18 26335, Patras, Greece;

    Department of Computer and Informatics Engineering, Technological Institution of Western Greece, National Road Antirrio-Ioannina 30020, Antirrio, Greece;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    e-recruitment systems; Personality mining; Social web mining;

    机译:电子招聘系统;个性挖掘;社交网络挖掘;

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