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公开(公告)号：US20170235822A1
公开(公告)日：2017-08-17
申请号：US15518756
申请日：2015-01-23
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Lei LIU , Georgia Koutrika , Jerry Liu
CPC classification number: G06F16/337 , G06Q10/0631 , G06Q10/105 , G06Q50/20
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.
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公开(公告)号：US20190088155A1
公开(公告)日：2019-03-21
申请号：US15763019
申请日：2015-10-12
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Lei LIU
Abstract: Concept map assessment includes receiving a first concept map from a learner and preparing an assessment of the first concept map for a learner based on at least one of: an amount of edge differences and an amount of path differences between the first concept map and a second concept map, a similarity detection system to detect similarity in text between the first concept map, the second concept map and learning content, and peer-review of the first concept map by other learners and reviews of the peer-reviews by the learner of other learners' first concept maps.
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公开(公告)号：US20180005539A1
公开(公告)日：2018-01-04
申请号：US15545024
申请日：2015-01-20
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Udi CHATOW , Georgia KOUTRIKA , Lei LIU
Abstract: Example implementations disclosed herein can be used to generate student user-specific customized hybrid educational documents. Such implementations include systems, methods, and devices for determining an attention span profile associated with a particular student user, and generating a custom educational document in response to the attention span profile. Student user experience feedback and test results determined from the use of the customized educational document can be assessed to update the student user's attention span profile. The updated student user attention span can then be used to update the customized educational document.
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公开(公告)号：US20170270098A1
公开(公告)日：2017-09-21
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: G06F17/27 , G06F3/0481 , G06F17/24
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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Patent Agency Ranking
公开(公告)号：US20180218288A1
公开(公告)日：2018-08-02
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
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.
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公开(公告)号：US20170278416A1
公开(公告)日：2017-09-28
申请号：US15514462
申请日：2014-09-24
Applicant: Hewlett-Packard Development Company, L.P.
CPC classification number: G09B7/02 , G06F17/274 , G06F17/278 , G06F17/2785 , G09B7/00
Abstract: Examples disclosed herein relate to selecting a question to associate with a passage. A processor may categorize a subset of terms appearing in a passage and compare the terms and their categories to the categorized terms associated with the questions to determine similarity levels between the passage and the questions. The processor may select at least one of the questions based on its relative similarity level compared to similarity levels of the other questions and output information related to the selected question.
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公开(公告)号：US20190034518A1
公开(公告)日：2019-01-31
申请号：US16074704
申请日：2016-10-28
Applicant: HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
Inventor： Lei LIU , Anita ROGACS
IPC: G06F17/30
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.
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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
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.
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公开(公告)号：US20170132314A1
公开(公告)日：2017-05-11
申请号：US15315948
申请日：2014-06-02
Applicant: Hewlett-Packard Development Company, L.P.
Inventor： Lei LIU , Georgia Koutrika , Jerry Liu , Steven J. Simske
CPC classification number: G06F16/3346 , G06F16/338 , G06F17/241 , G06F17/2785 , G09B5/06
Abstract: Examples herein disclose identifying multiple topics within a selected passage. The examples disclose processing the multiple topics in accordance with a statistical model to determine relevant topics to the selected passage. Additionally, the examples disclose outputting a resource related to the relevant topics.
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