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    TRIGGERING ROLE-BASED WORKFLOWS WITH USER AUTHENTICATION
    2.
    发明申请
    TRIGGERING ROLE-BASED WORKFLOWS WITH USER AUTHENTICATION 审中-公开

    公开(公告)号：US20190158493A1

    公开(公告)日：2019-05-23

    申请号：US16098091

    申请日：2016-07-29

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

    Inventor： Jason S. Aronoff ,  Steven J. Simske

    IPC: H04L29/06 ,  G06F9/48 ,  G06K19/10

    Abstract: In one example in accordance with the present disclosure a method is described. According to the method, data associated with a variable data component is captured by a user computing device is received via a network. A user is authenticated by comparing biometric information for the user against a database of valid users. Responsive to an authentication of the user, role-based workflows are triggered. The role-based workflows are based on the biometric information for the user received from the user computing device and the data associated with the variable data component.

    PERSONALIZED LEARNING BASED ON FUNCTIONAL SUMMARIZATION
    3.
    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.

    Classification of records in a data set
    7.
    发明授权
    Classification of records in a data set 有权

    公开(公告)号：US11210556B2

    公开(公告)日：2021-12-28

    申请号：US16769766

    申请日：2018-01-25

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

    Inventor： Jason S. Aronoff ,  Steven J. Simske

    IPC: G06K9/62 ,  G06K9/00 ,  G06K9/34

    Abstract: Techniques for classifying records in a dataset are described. The method includes identifying a set of features of a target record and assigning a scoring metric to each feature in the set of features. The method also includes processing the set of features based on the scoring metric to obtain a reduced subset of features and an expanded subset of features. The method also includes searching a store of electronic records using the reduced subset of features to obtain a reduced subset of electronic records. The method also includes searching the reduced subset of electronic records using the expanded subset of features to obtain a set of matching electronic records.

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