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Based on the application of AI technology in resume analysis and job recommendation

机译:基于AI技术在简历分析和工作推荐中的应用

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This study adopted machine learning- and text mining technology-based artificial intelligence and current big data technology to analyze the trendiness of online discussion. Developing a system that can be applied in large job fairs, where numerous job applicants seek to match with the maximum of job vacancies provided by companies possible. The developed system conducts personal competitiveness analysis, personality trait analysis, and gives job vacancy recommendations according to the electronic resumes job applicants submit. In addition, the system generates a talent recommendation list for the companies. The experimental results verified that the job vacancies recommended by the developed system desirably met job applicants’ expectation.
机译:本研究采用基于机器学习和文本挖掘技术的人工智能以及当前的大数据技术来分析在线讨论的趋势。开发一种可用于大型招聘会的系统,在该系统中,许多求职者寻求与公司可能提供的最大职位空缺相匹配。开发的系统进行个人竞争力分析,人格特质分析,并根据求职者提交的电子简历给出职位空缺建议。此外,系统还会为公司生成人才推荐列表。实验结果证明,发达系统推荐的职位空缺符合求职者的期望。

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