Labeling apparatus
    1.
    发明授权

    公开(公告)号:US11775824B1

    公开(公告)日:2023-10-03

    申请号:US17206707

    申请日:2021-03-19

    CPC classification number: G06N3/08

    Abstract: Systems and methods are provided for receiving a data set that includes demographic data and population data; training, based on the data set, a neural network to establish a relationship between different physical layouts of messages and responses to the different physical layouts of the messages; applying the trained neural network to a user profile to predict a physical layout of a message; generating instructions for an electronic device based on the predicted physical layout of the message, the instructions comprising the message; and transmitting the instructions to the electronic device to create a physical label having a layout corresponding to the predicted physical layout of the message.

    Labeling apparatus
    2.
    发明授权

    公开(公告)号:US12147897B2

    公开(公告)日:2024-11-19

    申请号:US18374767

    申请日:2023-09-29

    Abstract: Systems and methods are provided for receiving a data set that includes demographic data and population data; training, based on the data set, a neural network to establish a relationship between different physical layouts of messages and responses to the different physical layouts of the messages; applying the trained neural network to a user profile to predict a physical layout of a message; generating instructions for an electronic device based on the predicted physical layout of the message, the instructions comprising the message; and transmitting the instructions to the electronic device to create a physical label having a layout corresponding to the predicted physical layout of the message.

    LABELING APPARATUS
    4.
    发明公开
    LABELING APPARATUS 审中-公开

    公开(公告)号:US20240020540A1

    公开(公告)日:2024-01-18

    申请号:US18374767

    申请日:2023-09-29

    CPC classification number: G06N3/08

    Abstract: Systems and methods are provided for receiving a data set that includes demographic data and population data; training, based on the data set, a neural network to establish a relationship between different physical layouts of messages and responses to the different physical layouts of the messages; applying the trained neural network to a user profile to predict a physical layout of a message; generating instructions for an electronic device based on the predicted physical layout of the message, the instructions comprising the message; and transmitting the instructions to the electronic device to create a physical label having a layout corresponding to the predicted physical layout of the message.

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