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
Link To Document