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Method for recommending a customized curriculum and software education system by using the method

机译:用该方法推荐定制课程和软件教育系统的方法

摘要

The present invention relates to a user-customized SW educational system. A server of the user-customized SW educational system includes a curriculum recommendation unit including a curriculum list pre-stored in a database and detecting and recommending a curriculum most suitable for a user by using machine learning on the basis of user collection information collected for a user and the curriculum list. The curriculum recommendation unit includes: an attribute data extraction module for extracting text and word attribute data from collected information on a user provided by a user information collection unit; a user interest tendency analysis module for extracting a tendency set distribution and a keyword distribution for the user using the text and word attribute data; a user curriculum matching module for detecting a correlation distribution of three factors of a user tendency set, a keyword, and a curriculum for the user; a curriculum recommendation module for extracting user characteristics and curriculum cluster data by performing learning on the basis of reliability data and the curriculum list; and a post-processing module for selecting and recommending a curriculum the most suitable for the user by performing learning by using the user characteristics and the curriculum cluster data. Therefore, a curriculum for a software education, which is the most suitable for a user, is recommended to be provided.
机译:本发明涉及一种用户定制的SW教学系统。用户定制的SW教育系统的服务器包括课程表推荐单元,该课程表推荐单元包括课程表列表,该课程表列表预先存储在数据库中,并且基于针对用户收集的用户集合信息,通过使用机器学习来检测和推荐最适合用户的课程表。用户和课程表。所述课程推荐单元包括:属性数据提取模块,用于从用户信息收集单元提供的关于用户的收集信息中提取文本和单词属性数据;以及用户兴趣趋势分析模块,用于使用文本和单词属性数据为用户提取趋势集分布和关键词分布;用户课程匹配模块,用于为用户检测用户趋势集,关键词和课程三个因素的相关分布;课程推荐模块,其通过基于可靠性数据和课程表进行学习来提取用户特征和课程群数据;后处理模块,用于通过使用用户特征和课程群数据进行学习来选择和推荐最适合用户的课程。因此,建议提供最适合用户的软件教育课程。

著录项

  • 公开/公告号KR102030149B1

    专利类型

  • 公开/公告日2019-10-08

    原文格式PDF

  • 申请/专利权人 HWASUNG CO. LTD.;

    申请/专利号KR20180143620

  • 申请日2018-11-20

  • 分类号G06Q50/20;G06N99;G06Q50;G06Q50/10;

  • 国家 KR

  • 入库时间 2022-08-21 11:47:40

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