Abstract
The job/career matching has been ever increasingly important social issue in every country. The career matching is to assign the right candidate to the right company. The matching is passive process by employment counselor who cannot go through all profiles of candidates and also companies’ profiles. And there can be a human mistake assigning the wrong candidate to a wrong company. To minimize miss-matching cases, the paper investigates several statistical analysis methods and also proposes an artificial intelligence based method. In this paper, the method named Artificial Intelligence based Design platform (AID) has been developed for career matching between university students and companies. The efficiency of AID has been proven by comparing the results (matching rate representing perfect matching) obtained by the proposed method AID and statistical methods such as least squares, Pearson correlation, Manhattan distance. The paper shows that AID can produce zero miss-matching for student’s skill and company’s needs while the statistical methods produce more than 30% miss-matching. In other words, AID can assign the right student to the right company.
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