论文标题
基于人工智能的人才获得和工作基准
An AI based talent acquisition and benchmarking for job
论文作者
论文摘要
在招聘行业中，从一堆CV的特定职位上选择最佳的简历非常具有挑战性。找到适合在组织文化中工作的组织的理想候选人是一项艰巨的任务。为了帮助招聘人员填补这些空白，我们利用AI的帮助。我们提出了一种方法来通过匹配从简历和工作职位生成的技能图来解决这些问题。在本报告中，我们的方法是进行业务理解，以证明为什么出现此类问题以及我们打算使用自然语言处理和机器学习技术解决这些问题。我们限制了我们的项目只是为了解决计算机科学行业领域的问题。
In a recruitment industry, selecting a best CV from a particular job post within a pile of thousand CV's is quite challenging. Finding a perfect candidate for an organization who can be fit to work within organizational culture is a difficult task. In order to help the recruiters to fill these gaps we leverage the help of AI. We propose a methodology to solve these problems by matching the skill graph generated from CV and Job Post. In this report our approach is to perform the business understanding in order to justify why such problems arise and how we intend to solve these problems using natural language processing and machine learning techniques. We limit our project only to solve the problem in the domain of the computer science industry.
