公开(公告)号：US10769190B2

公开(公告)日：2020-09-08

申请号：US15518756

申请日：2015-01-23

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

Inventor： Lei Liu ,  Georgia Koutrika ,  Jerry Liu

IPC: G06Q50/20 ,  G06F16/335 ,  G06Q10/06 ,  G06Q10/10

Abstract: Examples relate to grouping students using content fields. Student data including a plurality of content fields is obtained. Each content field of the plurality of content fields includes a value that represents an unstructured marking linked to a content data collection. Student profiles are generated by assigning a student identification number to each of the plurality of content fields. Each of the student identification numbers are organized into at least one student group by analyzing the set of student profiles.

公开(公告)号：US10409854B2

公开(公告)日：2019-09-10

申请号：US15545812

申请日：2015-03-26

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

Inventor： Lei Liu ,  Jerry Liu ,  Shanchan Wu ,  Hector A Lopez

IPC: G06K9/00 ,  G06F16/583 ,  G06F16/951 ,  G06F17/27 ,  G06F17/21 ,  G06F17/24

Abstract: Examples disclosed herein relate to selecting an image based on text topic and image explanatory value. In one implementation, a processor selects an image to associate with a text based on a criteria indicating the explanatory value of a context information related to the image in relation to the topic of the text. The processor may output the selected image.

公开(公告)号：US20170330133A1

公开(公告)日：2017-11-16

申请号：US15522732

申请日：2014-12-08

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

Inventor： Lei Liu ,  Steven J Simske ,  Mary Brady

IPC: G06Q10/06 ,  G06F9/06 ,  G06F17/30 ,  G06Q50/20

CPC classification number: G06Q10/063116 ,  G06F9/06 ,  G06F16/437 ,  G06Q10/06311 ,  G06Q50/20 ,  G06Q50/205

Abstract: Examples disclosed herein involve organizing training sequences for tracing courses. Examples disclosed include analyzing a profile of a user comprising a list of skills learned by the user, analyzing a curriculum of a training course comprising lessons, and organizing a training sequence of the lessons based on the profile and the curriculum.

公开(公告)号：US20170221163A1

公开(公告)日：2017-08-03

申请号：US15500917

申请日：2014-07-31

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

Inventor： Lei Liu ,  Georgia Koutrika ,  Jerry Liu

IPC: G06Q50/20 ,  G09B5/08 ,  G09B7/02 ,  G06Q10/06 ,  G06Q10/10

CPC classification number: G06Q50/20 ,  G06Q10/063112 ,  G06Q10/103 ,  G09B5/00 ,  G09B5/08 ,  G09B7/02

Abstract: Examples disclosed herein relate to creating a heterogeneous learner group. In one implementation, a processor associates a selected learner with a group of learners based on a value of a factor associated with the group of learners compared to a value of the factor associated with the selected learner. For example, the value associated with the selected learner may be indicative of a strength compared to the value associated with the group of learners. The processor may output information related to a heterogeneous learner group created from the group of learners and the selected learner.

公开(公告)号：US11232370B2

公开(公告)日：2022-01-25

申请号：US15746312

申请日：2015-08-14

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

Inventor： Lei Liu ,  Tong Zhang ,  Steven J Simske

IPC: G06N20/00 ,  G16H50/20 ,  G16Z99/00 ,  G16H10/60

Abstract: A system that uses biometric data to facilitate learning is provided herein. The system receives at least two data points via a biometric sensor. Information is extracted from the at least two data points and a set of features are identified. Data analysis is then performed on the set of features.

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.

公开(公告)号：US10353987B2

公开(公告)日：2019-07-16

申请号：US15545681

申请日：2015-01-30

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

Inventor： Shanchan Wu ,  Lei Liu ,  Jerry Liu

IPC: G06F17/21 ,  G06Q10/10 ,  G06F17/22 ,  G06T7/11

Abstract: Examples herein disclose obtaining regions of digital content and determining a correlation measurement between the multiple regions of digital content adjacently located to each other. The examples disclose identifying a breakpoint in the digital content based on the determined correlation measurement.

公开(公告)号：US11151245B2

公开(公告)日：2021-10-19

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 ,  G06F21/50 ,  G06F21/31 ,  G06F21/32 ,  H04L29/06

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.

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.

公开(公告)号：US20170132190A1

公开(公告)日：2017-05-11

申请号：US15321105

申请日：2014-06-30

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

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

IPC: G06F17/24 ,  G06F17/30

CPC classification number: G06F17/241 ,  G06F16/334 ,  G06F16/345 ,  G06F17/243 ,  G06Q10/10 ,  G09B5/00

Abstract: Examples disclosed herein relate to recommending content segments based on annotations. In one implementation, a processor determines content segments based on user data related to annotations of the content. The processor recommends at least one of the content segments based on the relative value of the content segment to the other content segments. For example, the value of a content segment may be determined based on the annotations associated with the content segment.