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MACHINE LEARNING-BASED USER-CUSTOMIZED AUTOMATIC PATENT DOCUMENT CLASSIFICATION METHOD, DEVICE, AND SYSTEM

机译:基于机器学习的用户自定义专利文件自动分类方法,装置和系统

摘要

The present invention may comprise: a step for learning patent documents stored in a patent database by using machine learning technology, establishing a first classification criterion on the basis of the degree of similarity between the patent documents, and generating a basic classification model for classifying the patent documents on the basis of the first classification criterion; a step for generating a patent pool including a plurality of patent documents on the basis of a search and/or selection input of a user; a step for receiving a classification input of the user, and classifying the plurality of patent documents included in the patent pool according to the classification input; a step for predicting a second classification criterion for the user to classify the plurality of patent documents on the basis of the degree of similarity between the classified patent documents; and a step for classifying, on the basis of the basic classification model and the second classification criterion, the remaining patent documents which have yet to be classified in the patent pool.
机译:本发明可以包括:通过使用机器学习技术来学习存储在专利数据库中的专利文件的步骤,基于所述专利文件之间的相似度建立第一分类标准,并生成用于对所述专利文件进行分类的基本分类模型。根据第一分类标准的专利文件;根据用户的搜索和/或选择输入生成包括多个专利文件的专利池的步骤;接收用户的分类输入,并根据该分类输入对包括在专利池中的多个专利文件进行分类的步骤;预测第二分类标准的步骤,以使用户根据分类后的专利文献之间的相似度对多个专利文献进行分类;根据基本分类模型和第二分类标准,对尚未在专利库中分类的其余专利文献进行分类的步骤。

著录项

  • 公开/公告号WO2020204535A1

    专利类型

  • 公开/公告日2020-10-08

    原文格式PDF

  • 申请/专利权人 WERT INTELLIGENCE CO. LTD.;

    申请/专利号WO2020KR04341

  • 发明设计人 YUN JUNG HO;SHIN JUNG HOON;

    申请日2020-03-30

  • 分类号G06F16/35;G06F40/205;G06Q50/18;G06N3/08;G06F3/0486;G06Q10/06;G06Q10/04;G06N20;

  • 国家 WO

  • 入库时间 2022-08-21 11:09:04

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