Learning graph
    1.
    发明授权

    公开(公告)号:US10891334B2

    公开(公告)日:2021-01-12

    申请号:US15101879

    申请日:2013-12-29

    Abstract: A learning graph is generated for documents according to a sequencing approach. The learning graph includes nodes corresponding to the documents and edges. Each edge connects two of the nodes and indicates a sequencing relationship between two of the documents to which the two of the nodes correspond that specifies an order in which the two of the documents are to be reviewed in satisfaction of the learning goal. The learning graph is a directed graph specifying a learning path through the documents to achieve a learning goal in relation to a subject.

    Providing supplemental content based on a selected file
    3.
    发明授权
    Providing supplemental content based on a selected file 有权
    根据所选文件提供补充内容

    公开(公告)号:US09086825B2

    公开(公告)日:2015-07-21

    申请号:US13747827

    申请日:2013-01-23

    Abstract: A system can include a print type classifier to receive a print message that indicates that a file has been selected to be printed. The print type classifier can also determine a print type of the file. The system can also include a print content analyzer to assign a category to the file characterizing a topic of the file based on the content of the file. The print type analyzer can also generate a content representation of the file that characterizes a summary of content of the file. The system can further include a recommendation engine to provide supplemental content based on at least one of the print type, the category and the content representation of the file, wherein the supplemental content is in a printable format.

    Abstract translation: 系统可以包括打印类型分类器以接收指示已经选择要打印的文件的打印消息。 打印类型分类器也可以确定文件的打印类型。 该系统还可以包括打印内容分析器,用于基于文件的内容将类别分配给表征文件的主题的文件。 打印类型分析器还可以生成描述文件内容摘要的文件的内容表示。 该系统还可以包括推荐引擎,用于基于文件的打印类型,类别和内容表示中的至少一个提供补充内容,其中补充内容是可打印格式。

    EXTERNAL RESOURCE IDENTIFICATION
    4.
    发明申请

    公开(公告)号:US20170270098A1

    公开(公告)日:2017-09-21

    申请号:US15508460

    申请日:2014-09-02

    CPC classification number: G06F17/2785 G06F3/0481 G06F17/248 G06F17/278

    Abstract: Systems and methods associated with external resource identification are disclosed. One example method may be embodied on a non-transitory computer-readable medium storing computer-executable instructions. The instructions, when executed by a computer may cause the computer to perform the method. The method includes classifying a segment of a document into a member of a set of topics discussed within the document. The method also includes identifying, based on the structure of the segment and keywords from the segment, information that a reader of the document could seek upon reading the segment. The method also includes obtaining, based on the member of the set of topics, a set of candidate external resources that potentially contain the information. The method also includes presenting, in response to a user interaction with the document, a member of the set of candidate external resources identified as being likely to contain the information.

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