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    Learning graph
    11.
    发明授权
    Learning graph 有权

    公开(公告)号：US10891334B2

    公开(公告)日：2021-01-12

    申请号：US15101879

    申请日：2013-12-29

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Georgia Koutrika ,  Lei Liu ,  Jerry J. Liu ,  Steven J. Simske

    IPC: G06F16/90 ,  G06F16/93 ,  G06F40/10 ,  G06N20/00 ,  G06F16/901

    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.

    External resource identification
    16.
    发明授权
    External resource identification 有权

    公开(公告)号：US10417338B2

    公开(公告)日：2019-09-17

    申请号：US15508460

    申请日：2014-09-02

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Lei Liu ,  Georgia Koutrika ,  Jerry J Liu

    IPC: G06F17/21 ,  G06F17/27 ,  G06F3/0481 ,  G06F17/24

    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.

    PERSONALIZED LEARNING BASED ON FUNCTIONAL SUMMARIZATION
    18.
    发明申请
    PERSONALIZED LEARNING BASED ON FUNCTIONAL SUMMARIZATION 审中-公开

    公开(公告)号：US20170309194A1

    公开(公告)日：2017-10-26

    申请号：US15514432

    申请日：2014-09-25

    Applicant: Hewlett-Packard Development Company, L.P.

    Inventor： Steve J. Simske ,  Marie Vans ,  Malgorzata M. Sturgill ,  Jason S. Aronoff ,  Georgia Koutrika

    IPC: G09B5/06 ,  G06N99/00

    Abstract: Personalized learning based on functional summarization is disclosed. One example is a system including a content processor, a plurality of summarization engines, at least one meta-algorithmic pattern, an evaluator, and a selector. The content processor provides course material to be learned, the course material selected from a corpus of educational content, and identifies retained material indicative of a portion of the course material retained by user. Each of the plurality of summarization engines provides a differential summary indicative of differences between the course material and the retained material. The at least one meta-algorithmic pattern is applied to at least two differential summaries to provide a meta-summary using the at least two differential summaries. The evaluator determines a value of each differential summary and meta-summary. The selector selects a meta-algorithmic pattern or a summarization engine that provides the meta-summary or differential summary, respectively, having the highest assessed value.

    MATCHING OF AN INPUT DOCUMENT TO DOCUMENTS IN A DOCUMENT COLLECTION
    20.
    发明申请
    MATCHING OF AN INPUT DOCUMENT TO DOCUMENTS IN A DOCUMENT COLLECTION 审中-公开
    输入文件对文件收集文件的匹配

    公开(公告)号：US20160299891A1

    公开(公告)日：2016-10-13

    申请号：US15100918

    申请日：2013-12-06

    Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

    Inventor： Georgia Koutrika ,  Dimitra Papadimitriou ,  Steven J Simske

    IPC: G06F17/30 ,  G06F17/27

    Abstract: Matching of an input document to documents in a document collection is described herein. In an example, a similarity correspondence between an input document and one or more documents in a base document collection is established. A set of base document segments and a set of message types associated to document segments in the set of base document segments is provided. The set of base document segments is derived from documents in the base document collection. The input document is segmented into input document segments corresponding to message types. Segment similarity between input document segments and base document segments corresponding to the same message types is computed. The similarity correspondence between the input document and at least one document in the base document collection is based on the computed segment similarity.

    Abstract translation: 这里描述了输入文档与文档集合中的文档的匹配。 在一个示例中，建立输入文档和基本文档集合中的一个或多个文档之间的相似性对应关系。 提供了一组基本文档段和一组与基本文档段中的文档段相关联的消息类型。 基本文档段的集合是从基础文档集合中的文档导出的。 输入文档被分割成与消息类型对应的输入文档段。 计算对应于相同消息类型的输入文档段和基本文档段之间的段相似性。 输入文档与基本文档集合中的至少一个文档之间的相似性对应关系基于所计算的片段相似度。

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