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    SYSTEMS AND METHODS FOR EXECUTING FEEDBACK ACTIONS BASED UPON VEHICLE PRACTICES
    2.
    发明申请
    SYSTEMS AND METHODS FOR EXECUTING FEEDBACK ACTIONS BASED UPON VEHICLE PRACTICES 审中-公开

    公开(公告)号：US20190266629A1

    公开(公告)日：2019-08-29

    申请号：US15906218

    申请日：2018-02-27

    Applicant: Oath Inc.

    Inventor： Eric Theodore Bax ,  Kimberly Williams ,  Lisa Giaffo ,  John Donald ,  Teppo Veikko Salonen

    IPC: G06Q30/02 ,  B60Q9/00 ,  G06Q40/08

    Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.

    CLASSIFIER VALIDATION
    3.
    发明申请
    CLASSIFIER VALIDATION 有权

    公开(公告)号：US20220100593A1

    公开(公告)日：2022-03-31

    申请号：US17034427

    申请日：2020-09-28

    Applicant: Oath Inc.

    Inventor： Eric Theodore Bax ,  Natalie Bax

    IPC: G06F11/07 ,  G06N20/00 ,  G06F16/28

    Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

    Transmitting response content items
    4.
    发明授权
    Transmitting response content items 有权

    公开(公告)号：US11243669B2

    公开(公告)日：2022-02-08

    申请号：US15906118

    申请日：2018-02-27

    Applicant: Oath Inc.

    Inventor： Eric Theodore Bax ,  Kimberly Williams ,  Lisa Giaffo ,  John Donald ,  Teppo Veikko Salonen

    IPC: G06F3/0484 ,  G06F3/0482 ,  G06F16/28 ,  G06F16/9535

    Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

    TRANSMITTING RESPONSE CONTENT ITEMS
    6.
    发明申请
    TRANSMITTING RESPONSE CONTENT ITEMS 审中-公开

    公开(公告)号：US20190265852A1

    公开(公告)日：2019-08-29

    申请号：US15906118

    申请日：2018-02-27

    Applicant: Oath Inc.

    Inventor： Eric Theodore Bax ,  Kimberly Williams ,  Lisa Giaffo ,  John Donald ,  Teppo Veikko Salonen

    IPC: G06F3/0484 ,  G06F17/30 ,  G06F3/0482

    Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

    Classifier validation
    8.
    发明授权
    Classifier validation 有权

    公开(公告)号：US11467895B2

    公开(公告)日：2022-10-11

    申请号：US17034427

    申请日：2020-09-28

    Applicant: Oath Inc.

    Inventor： Eric Theodore Bax ,  Natalie Bax

    IPC: G06F16/30 ,  G06F11/07 ,  G06F16/28 ,  G06N20/00

    Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

    CONTENT ITEM SELECTION FOR GOAL ACHIEVEMENT
    9.
    发明申请
    CONTENT ITEM SELECTION FOR GOAL ACHIEVEMENT 有权

    公开(公告)号：US20210182700A1

    公开(公告)日：2021-06-17

    申请号：US16716537

    申请日：2019-12-17

    Applicant: Oath Inc.

    Inventor： Eric Theodore Bax ,  Kimberly Williams ,  Lisa Giaffo ,  Nikki Mia Williams ,  John Donald ,  Melissa Susan Gerber ,  Tanisha Sharma

    IPC: G06N5/04 ,  G06N20/00

    Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

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