• DocumentCode
    576889
  • Title

    Meta Index Model Based Matchmaking for Human Resource Management: An Approach for Similarity Comparing between Employee and Job Position Using Meta Index Model

  • Author

    Keon Soo Lee ; Seungmin Rho

  • Author_Institution
    R&D Center, Wisepole, Seoul, South Korea
  • fYear
    2012
  • fDate
    26-28 Sept. 2012
  • Firstpage
    645
  • Lastpage
    649
  • Abstract
    One of the most important tasks in Human resource management is to find a suitable human for the given position. It is a difficult task because for human beings what they can do well is not always what they want to do and even if they have capability of fulfilling the requested task, the relationship among the team members can prevent them from being the good worker in the given position. Therefore, the ability of finding which employee is best for the given task is regarded as the expert knowledge of recruiters. In this paper, we propose a meta index model based matchmaking method for human resource management. This model describes each employee´s ability and each employer´s requirement. According to the model, the similarity between employees and jobs is calculated.
  • Keywords
    expert systems; job specification; personnel; recruitment; team working; employee ability; employer requirement; expert knowledge; good worker; human resource management; job position; meta index model based matchmaking method; recruiters; similarity comparing; team members; Collaboration; Companies; Filtering; Humans; Indexes; Ontologies; Resumes; Human Resource Management; Meta Index Model; Similarity Comparing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network-Based Information Systems (NBiS), 2012 15th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-2331-4
  • Type

    conf

  • DOI
    10.1109/NBiS.2012.134
  • Filename
    6354899