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    Reading difficulty level based resource recommendation
    2.
    发明授权
    Reading difficulty level based resource recommendation 有权

    公开(公告)号：US11238225B2

    公开(公告)日：2022-02-01

    申请号：US15542918

    申请日：2015-01-16

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

    Inventor： Lei Liu ,  Georgia Koutrika ,  Jerry J Liu

    IPC: G06F17/00 ,  G06F40/284 ,  G06F16/332 ,  G06F16/30 ,  G06F16/36 ,  G06F16/35 ,  G06F16/31 ,  G06F40/106

    Abstract: Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.

    READING DIFFICULTY LEVEL BASED RESOURCE RECOMMENDATION
    3.
    发明申请
    READING DIFFICULTY LEVEL BASED RESOURCE RECOMMENDATION 审中-公开

    公开(公告)号：US20180004726A1

    公开(公告)日：2018-01-04

    申请号：US15542918

    申请日：2015-01-16

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

    Inventor： Lei LIU ,  Georgia Koutrida ,  Jerry J Liu

    IPC: G06F17/27 ,  G06F17/30 ,  G06F17/21

    CPC classification number: G06F17/277 ,  G06F16/30 ,  G06F16/313 ,  G06F16/3323 ,  G06F16/35 ,  G06F16/36 ,  G06F17/212

    Abstract: Examples associated with reading difficulty level based resource recommendation are disclosed. One example may involve instructions stored on a computer readable medium. The instructions, when executed on a computer, may cause the computer to obtain a set of candidate resources related to a source document. The candidate resources may be obtained based on content extracted from the source document. The instructions may also cause the computer to identify reading difficulty levels of members of the set of candidate resources. The instructions may also cause the computer to recommend a selected candidate resource to a user. The selected candidate resource may be recommended based on subject matter similarity between the selected candidate resource and the source document. The selected candidate resource may also be recommended based on reading difficulty level similarity between the selected candidate resource and the source document.

    External resource identification
    4.
    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.

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