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    SYSTEMS AND METHODS FOR PROVIDING PRODUCT DATA ON MOBILE USER INTERFACES
    1.
    发明公开
    SYSTEMS AND METHODS FOR PROVIDING PRODUCT DATA ON MOBILE USER INTERFACES 审中-公开

    公开(公告)号：US20230316387A1

    公开(公告)日：2023-10-05

    申请号：US17707709

    申请日：2022-03-29

    Applicant: Donde Fashion, Inc. ,  Shopify Inc.

    Inventor： Kshetrajna Raghavan ,  Roni Gurvich

    IPC: G06Q30/06

    CPC classification number: G06Q30/0643 ,  G06Q30/0631

    Abstract: A computer-implemented is disclosed. The method includes: receiving, via a client device, a product search query; identifying a first product attribute based on query terms associated with the product search query; obtaining at least one search result matching the product search query; obtaining a set of product images associated with the at least one search result; for each of the product images, determining a respective level of confidence based on an estimation as to whether the product image is associated with the first product attribute; ranking the product images based on the levels of confidence; selecting at least a subset of the product images based on the ranking; and providing, via the client device, an indication of the at least one search result and the associated subset of product images.

    Systems and methods for providing product data on mobile user interfaces
    3.
    发明授权
    Systems and methods for providing product data on mobile user interfaces 有权

    公开(公告)号：US12159308B2

    公开(公告)日：2024-12-03

    申请号：US17707709

    申请日：2022-03-29

    Applicant: Shopify Inc.

    Inventor： Kshetrajna Raghavan ,  Roni Gurvich

    IPC: G06Q30/00 ,  G06Q30/0601

    Abstract: A computer-implemented is disclosed. The method includes: receiving, via a client device, a product search query; identifying a first product attribute based on query terms associated with the product search query; obtaining at least one search result matching the product search query; obtaining a set of product images associated with the at least one search result; for each of the product images, determining a respective level of confidence based on an estimation as to whether the product image is associated with the first product attribute; ranking the product images based on the levels of confidence; selecting at least a subset of the product images based on the ranking; and providing, via the client device, an indication of the at least one search result and the associated subset of product images.

    SYSTEM AND METHOD FOR AUTOMATED CONSTRUCTION OF DATA SETS FOR RETRAINING A MACHINE LEARNING MODEL
    4.
    发明公开
    SYSTEM AND METHOD FOR AUTOMATED CONSTRUCTION OF DATA SETS FOR RETRAINING A MACHINE LEARNING MODEL 审中-公开

    公开(公告)号：US20240144654A1

    公开(公告)日：2024-05-02

    申请号：US18049874

    申请日：2022-10-26

    Applicant: Shopify Inc. ,  Donde Fashion, Inc.

    Inventor： Roni Gurvich ,  Peng Yu

    IPC: G06V10/774 ,  G06V10/776

    CPC classification number: G06V10/774 ,  G06V10/776

    Abstract: A computer-implemented method and system for optimally retraining a supervised machine learning model based on newly received data. The method comprises receiving, from a requestor device, a new data set for updating a previously-trained model generated using a first training data set and tested using a first testing data set. Then, the new data set is checked for components having an association to both the first training data set and the first testing data set; and where such components are found, they are deleted. Once all of the components of the new data have been examined, remaining components of the new data set are assigned to one of the first training or testing data set in dependence upon a relationship connectivity therewith to form at least one of an updated testing and training data set for building the updated model.

    Systems and methods for training and using a machine learning model for matching objects
    5.
    发明授权
    Systems and methods for training and using a machine learning model for matching objects 有权

    公开(公告)号：US12183058B2

    公开(公告)日：2024-12-31

    申请号：US17672755

    申请日：2022-02-16

    Applicant: Shopify Inc.

    Inventor： Shaked Dunay ,  Adam Malloul ,  Roni Gurvich

    IPC: G06K9/00 ,  G06N20/00 ,  G06V10/44 ,  G06V10/74 ,  G06V10/774

    Abstract: A computer application may aim to identify first and second “matching” objects. The matching method cannot necessarily be based on how visually similar the two objects are to each other because two matching objects might be different and/or be visually different. Moreover, the images of the objects to be matched might not necessarily have metadata to assist in the matching. In some embodiments, a machine learning model may be trained using a set of digital images, each including two or more matching objects. Triplet loss training may be used, and each triplet may include: an image of a first object extracted from a first image, an image of an object that is visually similar to an image of a second object extracted from the first image, and an image of a third object extracted from a different image.

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