IT工作软技能推荐系统:贝叶斯网络方法

Azuraini Abu Bakar, Choo-Yee Ting
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引用次数: 19

摘要

如今,软技能是项目成功的关键因素。对于某些特定的工作,为了有效地完成工作,软技能通常被认为比硬技能或技术技能更重要。然而,为每个工作确定合适的软技能并不是一项简单的任务。鉴于此,本研究提出了一个解决方案,以帮助雇主在准备广告时,通过识别合适的软技能,以及其与特定职位的相关性。由于贝叶斯网络适用于不确定情况下的推理和决策,因此采用贝叶斯网络来解决这一问题。所提出的贝叶斯网络使用通过从广告中提取信息收集的数据集进行训练,也通过与一些确定的专家进行访谈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft skills recommendation systems for IT jobs: A Bayesian network approach
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.
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