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METHOD FOR PROVIDING COSMETIC CURATION BASED ON DEEP LEARNING

机译:基于深度学习的美容计算方法

摘要

The present invention relates to a method for providing customized cosmetic curation based on deep learning. The method for providing customized cosmetic curation based on deep learning comprises the steps of: determining skin type information of a user by receiving input data of a user with regard to a questionnaire; diagnosing current skin state information based on genetic information of the user obtained through a genetic test of the user; determining propensity information through social data of the user; learning a skin type classification model through machine learning based on at least one of the skin type information, the skin state information, and the propensity information; and providing curation which provides customized cosmetics for each skin type by using the skin type classification model and recommends experts.
机译:本发明涉及一种用于基于深度学习提供定制化妆品策划的方法。基于深度学习的提供定制化妆品管理的方法包括以下步骤:通过接收用户关于问卷的输入数据来确定用户的皮肤类型信息;以及根据通过用户的基因检测获得的用户的遗传信息,诊断当前的皮肤状态信息;通过用户的社交数据确定倾向信息;基于皮肤类型信息,皮肤状态信息和倾向信息中的至少一项,通过机器学习来学习皮肤类型分类模型;并提供使用皮肤类型分类模型为每种皮肤类型提供定制化妆品的策展方法,并向专家推荐。

著录项

  • 公开/公告号KR20200027098A

    专利类型

  • 公开/公告日2020-03-12

    原文格式PDF

  • 申请/专利权人 MPLUS COSMATICES CO. LTD.;

    申请/专利号KR20180103696

  • 发明设计人 LEE SHAL LOM;

    申请日2018-08-31

  • 分类号G06Q30/06;G06N3/08;

  • 国家 KR

  • 入库时间 2022-08-21 11:07:40

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