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    CONTENT PREDICTION BASED ON PIXEL-BASED VECTORS
    3.
    发明申请
    CONTENT PREDICTION BASED ON PIXEL-BASED VECTORS 有权

    公开(公告)号：US20220383035A1

    公开(公告)日：2022-12-01

    申请号：US17880706

    申请日：2022-08-04

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06K9/62 ,  G06N3/02 ,  G06F16/538 ,  G06V10/56 ,  G06V10/82

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for predicting content based on vector data structures generated from image pixels. A content-prediction application accesses a color palette having two or more color-palette categories and selects a first color of the color palette. The content-prediction application generates a first vector based on a set of pixel values that represent the first color of the color palette. The content-prediction application determines a distance metric between the first vector and a second vector, in which the second vector is identified by applying a convolutional neural network model on an image depicting an item that includes a second color. In response to determining that the distance metric is less than a predetermined threshold, the content-prediction application selects the content item corresponding to the second vector.

    Image processing for increasing visibility of obscured patterns
    6.
    发明授权
    Image processing for increasing visibility of obscured patterns 有权

    公开(公告)号：US11527023B2

    公开(公告)日：2022-12-13

    申请号：US17410783

    申请日：2021-08-24

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06T11/00 ,  G09G5/02 ,  G09G5/10 ,  H04N1/60 ,  H04N9/64 ,  G06T5/00

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for modifying pixel values of an image to improve the visibility of target pixel patterns. A pixel-simulation application accesses an initial image including an initial set of pixel values. The initial set of pixel values define, in an initial color space, a particular color of pixels that indicate a target pixel pattern. The pixel-simulation application generates, based on the initial set of pixel values, a simulated image including a modified set of pixel values that visually indicate another color of pixels in an intermediate color space. The pixel-simulation application generates a pixel map by identifying a difference between the initial set pixel values of the initial image and the modified set of pixel values of simulated image. The pixel-simulation application generates, for display, an output image based at least in part on the pixel map.

    INTENT-INFORMED RECOMMENDATIONS USING MACHINE LEARNING
    7.
    发明申请
    INTENT-INFORMED RECOMMENDATIONS USING MACHINE LEARNING 有权

    公开(公告)号：US20220366265A1

    公开(公告)日：2022-11-17

    申请号：US17319776

    申请日：2021-05-13

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06N3/08 ,  G06N3/04

    Abstract: Techniques are provided for generating intent-informed recommendations by encoding, into a first machine learning network, one or more features representing one or more interactions between at least one member of a first group of users and at least one resource, and extracting, from the first machine learning network, one or more features representing one or more interactions between at least one member of a second group of users and the at least one resource. Using the extracted features, an intent value can be determined by clustering the features of the first and second groups of users into at least one cluster using a second machine learning network. In turn, the intent value informs or otherwise feeds a recommendation engine that is configured to generate at least one recommendation of at least one resource based at least in part on further user interaction data associated with a user session.

    DETERMINING CUSTOMIZED CONSUMPTION CADENCES FROM A CONSUMPTION CADENCE MODEL
    10.
    发明公开
    DETERMINING CUSTOMIZED CONSUMPTION CADENCES FROM A CONSUMPTION CADENCE MODEL 审中-公开

    公开(公告)号：US20230186330A1

    公开(公告)日：2023-06-15

    申请号：US17517462

    申请日：2021-11-02

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06Q30/02 ,  G06Q30/06 ,  G06N3/04

    CPC classification number: G06Q30/0202 ,  G06N3/04 ,  G06Q30/0643

    Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilize a consumption cadence model to predict customized consumption cadences for user accounts across a wide variety of consumable items and generate dynamic selectable consumption scheduling options for the consumable items using the customized consumption cadences. For example, the disclosed systems predict a consumption cadence for consuming a consumable item that is customized for a user account that interacted with the consumable item. Additionally, in some embodiments, the disclosed systems utilize collective user behavior from user accounts that are similar to the user account to determine a predicted consumption cadence using a consumption cadence model. After determining such a cadence, in some instances, the disclosed systems also display a dynamic selectable scheduling option within a graphical user interface according to the predicted consumption cadence for the consumable item.

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