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    Reading difficulty level based resource recommendation
    11.
    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.

    Target class feature model
    12.
    发明授权
    Target class feature model 有权

    公开(公告)号：US11144576B2

    公开(公告)日：2021-10-12

    申请号：US16074704

    申请日：2016-10-28

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

    Inventor： Lei Liu ,  Anita Rogacs

    IPC: G06F16/28 ,  G16H50/20 ,  G16C20/70 ,  G16B40/00

    Abstract: A method may include sensing first data samples from a first set of different subjects having a membership in a target class and sensing second data samples from a second set of different subjects not having a membership in the target class, wherein each of the first data samples and the second data samples includes a composite of individual data features. The individual data features from each composite of the first data samples and the second data samples are extracted and quantified. Sets of features and associated weightings of a target class model are identified based upon quantified values of the individual features from each composite of the first samples and the second samples to create a model representing a fingerprint of the target class to determine membership status of a sample having an unknown membership status with respect to the target class.

    USER AUTHENTICATION
    13.
    发明申请
    USER AUTHENTICATION 审中-公开

    公开(公告)号：US20190220592A1

    公开(公告)日：2019-07-18

    申请号：US16329467

    申请日：2016-09-09

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

    Inventor： Lei Liu ,  Ning Ge ,  Steven J. Simske ,  Helen A. Holder

    IPC: G06F21/55 ,  G06F21/32 ,  H04L29/06

    CPC classification number: G06F21/552 ,  G06F21/31 ,  G06F21/32 ,  G06F21/50 ,  G06F21/55 ,  H04L29/06836

    Abstract: Examples associated with user authentication are described. One example method includes authenticating a user of a device using a static authentication technique. A behavior profile associated with the user is loaded. The behavior profile describes a pattern of device usage behavior by the user in a three-dimensional space over a time slice. The behavior profile also identifies distinctive user habits. Usage of the device is monitored, and a behavior similarity index is periodically updated. The behavior similarity index describes a similarity between the usage of the device and the pattern of device usage behavior. The behavior similarity index is weighted based on the distinctive user habits. Access to the device is restricted when the behavior similarity index reaches a predefined threshold.

    Learning Graph
    17.
    发明申请
    Learning Graph 审中-公开
    学习图

    公开(公告)号：US20170039297A1

    公开(公告)日：2017-02-09

    申请号：US15101879

    申请日：2013-12-29

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

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

    IPC: G06F17/30 ,  G06N99/00

    CPC classification number: G06F16/9024 ,  G06F16/93 ,  G06F17/21 ,  G06N20/00

    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.

    Abstract translation: 根据排序方法为文档生成学习图。 学习图包括对应于文档和边缘的节点。 每个边缘连接两个节点，并指示两个节点对应的两个文档之间的排序关系，指定两个文档的顺序，以满足学习目标的要求。 学习图是指定通过文档的学习路径以实现与主题相关的学习目标的有向图。

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