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    • 2. 发明授权
    • Ranking of segments of learning materials
    • US10140880B2
    • 2018-11-27
    • US14796872
    • 2015-07-10
    • FUJITSU LIMITED
    • Jun WangKanji Uchino
    • G09B5/02G09B7/00
    • A method of automated ranking of segments of learning materials includes calculating a window similarity between first-window content of a first window in a learning material and second-window content of a second window in the learning material. The method may also include in response to the window similarity between the first-window content of the first window and the second-window content of the second window meeting a similarity threshold, generating a first segment that includes at least the first-window content and the second-window content. The method may include calculating a first-segment consistency measurement for the first segment based on a first-segment similarity between the first-segment content in the first segment and a knowledge point. The method may also include ranking the first segment with respect to one or more of the following: a second segment in the learning material and a third segment in a different learning material, wherein the ranking of the first segment is based on one or more of the following: a quality measurement, a learning material type of the learning material, a length of the first segment, and the first-segment consistency measurement of the first segment.
    • 5. 发明授权
    • Item selection in curation learning
    • 策划学习中的项目选择
    • US09454612B2
    • 2016-09-27
    • US14013113
    • 2013-08-29
    • FUJITSU LIMITED
    • Jun WangKanji Uchino
    • G06F17/30
    • G06F17/30867
    • A method of ranking candidate curation items includes receiving a query. The method also includes extracting items from multiple curations. The method also includes calculating, based on the query, a content similarity measurement for each of the extracted items. The method also includes extracting, from each of the extracted items, multiple curation-specific features. The method also includes calculating one or more curation-specific measurements for each of the extracted items based on the extracted curation-specific features, the one or more curation-specific measurements being different than the content similarity measurement. The method also includes ranking each of the extracted items based on both the content similarity measurement and the one or more curation-specific measurements to generate multiple curation item results.
    • 排名候选策展项目的方法包括接收查询。 该方法还包括从多个策略中提取项目。 该方法还包括基于查询来计算每个提取的项目的内容相似性度量。 该方法还包括从每个提取的项目提取多个策展特定的特征。 该方法还包括基于提取的特定于特征的特征来计算针对每个提取的项目的一个或多个策展特定测量,所述一个或多个策展特定测量不同于内容相似度测量。 该方法还包括基于内容相似性测量和一个或多个策展特定测量来对每个提取的项目进行排序以产生多个策展项目结果。
    • 6. 发明授权
    • Curation selection for learning
    • 选择学习的选择
    • US09323810B2
    • 2016-04-26
    • US14013131
    • 2013-08-29
    • FUJITSU LIMITED
    • Jun WangKanji Uchino
    • G06F17/30
    • G06F17/3053G06F17/30011
    • A method of ranking curations includes receiving a query. The method also includes calculating, based on the query, a content similarity measurement for each of multiple curations. The method also includes extracting, from each of the curations, multiple curation-specific features. The method also includes calculating a curation credit measurement for each of the curations based on the extracted curation-specific features. The method also includes ranking each of the curations based on the corresponding content similarity measurement and the corresponding curation credit measurement.
    • 对策略进行排名的方法包括接收查询。 该方法还包括基于查询计算多个策展中的每一个的内容相似性度量。 该方法还包括从每个策展提取多个策展特定的特征。 该方法还包括基于所提取的针对特定的特征来计算每个策略的策展信用度量。 该方法还包括基于相应的内容相似度测量和相应的策展信用度量来对每个策略进行排序。