Pending notification deletion through autonomous removal triggering

    公开(公告)号:US11188396B2

    公开(公告)日:2021-11-30

    申请号:US16564811

    申请日:2019-09-09

    Abstract: A method, computer system, and computer program product for autonomous pending notification deletion are provided. The embodiment includes receiving a notification queue associated with a user on a user device. The embodiment also includes retrieving data related to multiple notifications from a user electronic calendar. The embodiment further includes determining a user current location. The embodiment also includes comparing each notification in the notification queue against the determined user current location. The embodiment further includes deriving a notification decision model based on the received notification queue, retrieved data, and the user current location. The embodiment also includes performing an action to manage the notification queue based on the derive notification decision model.

    SCALABLE GROUND TRUTH DISAMBIGUATION
    3.
    发明申请

    公开(公告)号:US20200050969A1

    公开(公告)日:2020-02-13

    申请号:US16659165

    申请日:2019-10-21

    Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining an utterance input from a user agent, and collecting context data of the utterance input. A context tag is generated based on the context data, and one or more ground truth having respective utterance semantically identical to the utterance input is selected. Semantical relationship between the context tag and an intent of the selected ground truth is examined and the selected ground truth is updated with the context tag.

    Cognitive geofence updates
    4.
    发明授权

    公开(公告)号:US10560803B2

    公开(公告)日:2020-02-11

    申请号:US15982008

    申请日:2018-05-17

    Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining data of breaches of a geofence by client computer devices to determine respective positions of the breaches; establishing an updated location for the geofence using the determined respective positions of the breaches; updating a location of the geofence so that the location of the geofence is the updated location; obtaining data of a client computer breach of the geofence at the updated location; and providing one or more output in response to the obtaining data of a client computer breach of the geofence at the updated location.

    AUTOMATED ZONE LOCATION CHARACTERIZATION
    7.
    发明申请

    公开(公告)号:US20170337503A1

    公开(公告)日:2017-11-23

    申请号:US15158649

    申请日:2016-05-19

    CPC classification number: G06Q10/087 H04W4/023 H04W4/80

    Abstract: A method and system for automatically characterizing retail zones is provided. The method includes determining, via a mobile device of a user, that a user has entered a first zone of a plurality of zones internal to a first entity structure. Product information is scanned via the mobile device in response to the user locating a first product. The product information describes the first product. Historical product and zone related data is analyzed with respect to the first zone and the product information and it is determined, based on the analysis, if the first product is currently associated with being located within the first zone.

    PACKAGE DELIVERY VERIFICATION
    10.
    发明申请

    公开(公告)号:US20220083964A1

    公开(公告)日:2022-03-17

    申请号:US17019282

    申请日:2020-09-13

    Abstract: In an approach to verifying a package is delivered to a proper location, one or more computer processors receive a first image of a first delivered package from a courier, where the image includes an indication of a first delivery location of the first delivered package. One or more computer processors receive feedback associated with receipt of the first delivered package from a recipient of the first delivered package. Based on the received feedback, one or more computer processors determine the delivery of the first delivered package is successful. In response to determining the delivery of the first delivered package is successful, one or more computer processors extract one or more location identifiers from the first image. Based on the first image, the feedback, and the one or more location identifiers, one or more computer processors generate a location confidence threshold.

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