• DocumentCode
    2646308
  • Title

    Soft skills recommendation systems for IT jobs: A Bayesian network approach

  • Author

    Bakar, Afarulrazi Abu ; Ting, Choo-Yee

  • Author_Institution
    Software Dev. Lab., MIMOS Berhad, Bukit Jalil, Malaysia
  • fYear
    2011
  • fDate
    28-29 June 2011
  • Firstpage
    82
  • Lastpage
    87
  • Abstract
    Today, soft skills are crucial factors to the success of a project. For a certain set of jobs, soft skills are often considered more crucial than the hard skills or technical skills, in order to perform the job effectively. However, it is not a trivial task to identify the appropriate soft skills for each job. In this light, this study proposed a solution to assist employers when preparing advertisement via identification of suitable soft skills together with its relevancy to that particular job title. Bayesian network is employed to solve this problem because it is suitable for reasoning and decision making under uncertainty. The proposed Bayesian Network is trained using a dataset collected via extracting information from advertisements and also through interview sessions with a few identified experts.
  • Keywords
    Bayes methods; belief networks; business data processing; human resource management; recommender systems; Bayesian network approach; IT job; advertisement via identification; employer assistance; hard skill; soft skill recommendation system; technical skill; Accuracy; Bayesian methods; Interviews; Qualifications; Software; Testing; Training; Bayesian Network; Data Mining; Soft Skills;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining and Optimization (DMO), 2011 3rd Conference on
  • Conference_Location
    Putrajaya
  • ISSN
    2155-6938
  • Print_ISBN
    978-1-61284-211-0
  • Electronic_ISBN
    2155-6938
  • Type

    conf

  • DOI
    10.1109/DMO.2011.5976509
  • Filename
    5976509