首页> 外国专利> METHOD FOR RECOMMENDING USER GROUPING AND GROUPWISE PREFERRED MACHINE LEARNING ANALYSIS ALGORITHMS AND APPARATUS THEREOF

METHOD FOR RECOMMENDING USER GROUPING AND GROUPWISE PREFERRED MACHINE LEARNING ANALYSIS ALGORITHMS AND APPARATUS THEREOF

机译:推荐用户分组和优选机器学习分析算法的方法及其装置

摘要

According to one embodiment of the present invention, a method for recommending user grouping and groupwise preferred machine learning analysis algorithms may comprise the steps of: (a) receiving user information from a user terminal; (b) performing first grouping through the user information and previously received different user information and generating a first analysis group; (c) receiving at least one group preference condition from the user terminal, performing second grouping through the group preference condition and generating a second analysis group included in the first analysis group; (d) determining a machine learning analysis algorithm corresponding to the second analysis group based on the group preference condition; and (e) providing the machine learning analysis algorithm to the user terminal.;COPYRIGHT KIPO 2020
机译:根据本发明的一个实施例,一种用于推荐用户分组和逐组优选的机器学习分析算法的方法可以包括以下步骤:(a)从用户终端接收用户信息; (b)通过用户信息和先前接收到的不同用户信息进行第一分组,并生成第一分析组; (c)从用户终端接收至少一个组偏好条件,通过该组偏好条件进行第二分组,并生成包括在第一分析组中的第二分析组; (d)根据组偏好条件确定与第二分析组对应的机器学习分析算法; (e)向用户终端提供机器学习分析算法。COPYRIGHT KIPO 2020

著录项

  • 公开/公告号KR20200036173A

    专利类型

  • 公开/公告日2020-04-07

    原文格式PDF

  • 申请/专利权人 RSPIRIT CORPORATION;

    申请/专利号KR20180115436

  • 发明设计人 LEE HYE YOUNGKR;

    申请日2018-09-28

  • 分类号G06Q10/06;G06N99;G06Q10/04;G06Q30/02;

  • 国家 KR

  • 入库时间 2022-08-21 11:07:24

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