首页> 外国专利> (Reinforcement learning-based recommendation system for job matching of person with experience and method using the same

(Reinforcement learning-based recommendation system for job matching of person with experience and method using the same

机译:(基于加强学习的建议制度,用于使用相同的经验和方法的人员匹配

摘要

receiving, by the recommendation system server, including job posting request information including professional competency request information from a company through a company job application app using the Internet; receiving, by the recommendation system server, career job search information including professional ability input information through a career job search app using the Internet; extracting, by the recommendation system server, a group of experienced workers from the job search information for experienced workers; performing, by the recommendation system server, a reinforcement learning-based expert ability recommendation method on the extracted group of experienced people, and extracting a group of experienced professionals according to the degree of similarity in expertise; extracting, by the recommendation system server, a list of experienced persons for recommendation with respect to the group of professional experienced persons; and providing the first company with the list of career candidates for recommendation and job search information to the first company. Reinforcement learning-based professional ability recommendation method, including
机译:接收,通过推荐系统的服务器,其中包括包括通过使用互联网公司工作的应用程序从一个公司的专业能力要求信息的招聘启事要求的信息;接收,通过推荐系统服务器,职业求职信息,包括通过使用互联网事业求职应用的专业能力的输入信息;提取,通过推荐系统服务器,一组从有经验的工人的求职信息,有经验的工人的;执行,由推荐系统服务器,对有经验的人将抽出基于强化学习能力的专家推荐方法,并提取一组根据专业知识的相似程度经验丰富的专业人员;提取,通过推荐系统的服务器,有经验的人员进行推荐与对于一批具有专业经验的人员的名单;并且提供第一公司的职业候选人的推荐和求职信息,第一家公司名单。强化学习为主的专业能力推荐方法,包括

著录项

  • 公开/公告号KR20210097264A

    专利类型

  • 公开/公告日2021-08-09

    原文格式PDF

  • 申请/专利权人 동국대학교 산학협력단;

    申请/专利号KR1020200010599

  • 发明设计人 염세경;김창균;최승현;

    申请日2020-01-29

  • 分类号G06Q10/10;G06Q10/06;

  • 国家 KR

  • 入库时间 2022-08-24 20:28:27

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