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Artificial intelligence based career matching

机译:基于人工智能的职业匹配

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摘要

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.
机译:工作/职业匹配在每个国家都越来越重要了社会问题。职业匹配是将合适的候选人分配给合适的公司。匹配是通过就业辅导员的被动过程,他们无法通过候选人的所有档案以及公司的个人资料。并且可能有一个人为错误为错误的公司分配错误的候选人。为了最大限度地减少错过匹配的情况,本文调查了几种统计分析方法,并提出了一种人工智能的方法。在本文中,已经为大学生和公司之间的职业匹配而开发了名为人工智能的基于设计平台(AID)的方法。通过比较所提出的方法辅助和统计方法,例如最小二乘,Pearson相关性,曼哈顿距离所获得的结果(匹配率)获得援助效率。本文表明,援助可以为学生的技能和公司的需求产生零错过匹配,而统计方法产生超过30%的错过匹配。换句话说,援助可以将合适的学生分配给合适的公司。

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