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    Search dimensionality expansion
    1.
    发明授权
    Search dimensionality expansion 有权

    公开(公告)号：US10817511B2

    公开(公告)日：2020-10-27

    申请号：US15198118

    申请日：2016-06-30

    Applicant: Intel Corporation

    Inventor： Rafi Cohen ,  Dganit Lebedev ,  Oded Vainas

    IPC: G06F17/30 ,  G06F16/2453 ,  G06F16/29 ,  G06F16/9535 ,  G06F16/9537

    Abstract: System and techniques for search dimensionality expansion are described herein. A history of intelligent agent activity may be received. A search result generated by an external entity may be obtained that includes a set of geographic points of interest (POI). A geographic segment may be retrieved from a geographic segment library when the geographic segment contains a member of the set of POI. Here, the geographic segment defines a geographic area and a dimension set. The search result may be modified to create a modified search result that includes a member of the dimension set. The modified search result may then be transmitted to a user device.

    Pattern recognition and prediction using a knowledge engine
    2.
    发明授权
    Pattern recognition and prediction using a knowledge engine 有权

    公开(公告)号：US11256998B2

    公开(公告)日：2022-02-22

    申请号：US15414387

    申请日：2017-01-24

    Applicant: Intel Corporation

    Inventor： Omri Mendels ,  Boris Kodner ,  Ariel Benou ,  Oded Vainas ,  Avi Samoucha ,  Tali Zvi

    IPC: G06N5/04 ,  G16H10/60 ,  G16H50/70 ,  G16H50/20 ,  G16H40/67 ,  G16H20/30 ,  G06N7/00 ,  G06Q10/06

    Abstract: Various systems and methods for processing activity data with a knowledge engine to generate actionable insights for a human subject are described. These actionable insights may include identifying a most likely action given a particular state of the human subject, identifying a most likely state in which the human subject performs a particular activity, or identifying anomalies in human activity patterns. In an example, an electronic processing system operates the knowledge engine with operations that: identify patterns of activity using clustering of events, identify meaningful patterns of activity from the patterns of activity based on co-occurrence of characteristics for respective events, rank the identified meaningful patterns of activity based on confidence and support of respective patterns to occur for a human subject, and generate a personalization action (such as an action for a software application) based on the ranked, identified meaningful patterns of activity.

    PATTERN RECOGNITION AND PREDICTION USING A KNOWLEDGE ENGINE
    3.
    发明申请
    PATTERN RECOGNITION AND PREDICTION USING A KNOWLEDGE ENGINE 审中-公开

    公开(公告)号：US20180211175A1

    公开(公告)日：2018-07-26

    申请号：US15414387

    申请日：2017-01-24

    Applicant: Intel Corporation

    Inventor： Omri Mendels ,  Boris Kodner ,  Ariel Benou ,  Oded Vainas ,  Avi Samoucha ,  Tali Zvi

    IPC: G06N7/00 ,  G06N5/02

    CPC classification number: G06N5/048 ,  G06Q10/06 ,  G06Q10/063 ,  G16H10/60 ,  G16H20/30 ,  G16H40/67 ,  G16H50/20 ,  G16H50/70

    Abstract: Various systems and methods for processing activity data with a knowledge engine to generate actionable insights for a human subject are described. These actionable insights may include identifying a most likely action given a particular state of the human subject, identifying a most likely state in which the human subject performs a particular activity, or identifying anomalies in human activity patterns. In an example, an electronic processing system operates the knowledge engine with operations that: identify patterns of activity using clustering of events, identify meaningful patterns of activity from the patterns of activity based on co-occurrence of characteristics for respective events, rank the identified meaningful patterns of activity based on confidence and support of respective patterns to occur for a human subject, and generate a personalization action (such as an action for a software application) based on the ranked, identified meaningful patterns of activity.

    Contextual model-based event scheduling
    4.
    发明授权
    Contextual model-based event scheduling 有权

    公开(公告)号：US10685332B2

    公开(公告)日：2020-06-16

    申请号：US15191594

    申请日：2016-06-24

    Applicant: Intel Corporation

    Inventor： Gili Ilan ,  Noam Sagi ,  Gil Sharon ,  Oded Vainas ,  Ronen Aharon Soffer

    IPC: G06Q10/10 ,  G06N20/00 ,  H04M3/56

    Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

    CONTEXTUAL MODEL-BASED EVENT SCHEDULING
    7.
    发明申请
    CONTEXTUAL MODEL-BASED EVENT SCHEDULING 审中-公开

    公开(公告)号：US20170372268A1

    公开(公告)日：2017-12-28

    申请号：US15191594

    申请日：2016-06-24

    Applicant: Intel Corporation

    Inventor： Gili Ilan ,  Noam Sagi ,  Gil Sharon ,  Oded Vainas ,  Ronen Aharon Soffer

    IPC: G06Q10/10 ,  G06N99/00

    Abstract: Various techniques for performing contextual event scheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

    CONTEXTUAL MODEL-BASED EVENT RESCHEDULING AND REMINDERS
    8.
    发明申请
    CONTEXTUAL MODEL-BASED EVENT RESCHEDULING AND REMINDERS 审中-公开

    公开(公告)号：US20170372267A1

    公开(公告)日：2017-12-28

    申请号：US15191591

    申请日：2016-06-24

    Applicant: Intel Corporation

    Inventor： Ronen Aharon Soffer ,  Oded Vainas ,  Gili Ilan ,  Noam Sagi ,  Merav Greenfeld

    IPC: G06Q10/10

    CPC classification number: G06Q10/1095

    Abstract: Various techniques for performing contextual event rescheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This model is operated by the event scheduling service determine a contextual action option for rescheduling an electronic communication event at a proposed time with proposed scheduling parameters. The model may identify the proposed time and event scheduling parameters, from data indicating a user state, or external data, in addition to a semantic text option (such as “Call Back After Meeting”) corresponding to the proposed time and event scheduling parameters. Further examples to evaluate user activity and identify reschedule options based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.

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