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    SYSTEMS AND METHODS FOR TRAINING AND USING A MACHINE-LEARNING MODEL FOR DETERMINING THE SIMILARITY OF ENTITIES
    3.
    发明申请
    SYSTEMS AND METHODS FOR TRAINING AND USING A MACHINE-LEARNING MODEL FOR DETERMINING THE SIMILARITY OF ENTITIES 有权

    公开(公告)号：US20240378492A1

    公开(公告)日：2024-11-14

    申请号：US18315752

    申请日：2023-05-11

    Applicant: SHOPIFY INC.

    Inventor： Kshetrajna Raghavan ,  Henrique Aveiro ,  Farzad Darouian ,  Mohammad Hassan Lotfi Froushani ,  Miqdad Jaffer

    IPC: G06N20/00

    Abstract: There are many situations in which it is useful to identify similar entities or to quantify how similar one entity is to another. However, similarity is often subjective, making it challenging to determine the similarity of two entities computationally. In order to allow for determining the similarity of entities according to a customizable definition of similarity, a selection of features for determining similarity is received from a user device and a machine-learning model is trained to encode the values of the selected features for a particular entity as a representation. The representations of two different entities may be compared to determine the similarity of the two entities according to the selected features. The trained machine-learning model may, additionally or alternatively, be used for cluster analysis to identify similar groups of entities.

    SYSTEMS AND METHODS FOR PROVIDING PRODUCT DATA ON MOBILE USER INTERFACES
    4.
    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
    5.
    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.

    METHOD AND SYSTEM FOR PROVIDING CATEGORY SUGGESTIONS
    6.
    发明公开
    METHOD AND SYSTEM FOR PROVIDING CATEGORY SUGGESTIONS 审中-公开

    公开(公告)号：US20230162253A1

    公开(公告)日：2023-05-25

    申请号：US17880045

    申请日：2022-08-03

    Applicant: Shopify Inc.

    Inventor： Kshetrajna Raghavan ,  Kyle Bruce Tate ,  Xinyi Zhao

    IPC: G06Q30/06 ,  G06N5/02 ,  G06N5/04

    CPC classification number: G06Q30/0625 ,  G06N5/022 ,  G06N5/04

    Abstract: A method for categorizing a product, the method including receiving information for the product; inputting the information into a trained machine learning model for a taxonomy tree; receiving a plurality of arrays, each array representing a level in the taxonomy tree and consisting of probabilities for each category represented in the level that the product is categorized in that category; choosing, from a highest level tier array, a category having a highest probability, thereby designating a tier prediction; collecting, from a second level tier array, all children of the tier prediction; determining whether a highest probability from the children of the tier prediction exceeds a threshold, and if yes, choosing the category with the highest probably as a new tier prediction; and repeating the determining; when the threshold is not exceeded or if the tier prediction has no children, and selecting the tier prediction as a predicted category.

    Systems and methods for automated product classification
    7.
    发明授权
    Systems and methods for automated product classification 有权

    公开(公告)号：US11861882B2

    公开(公告)日：2024-01-02

    申请号：US17554474

    申请日：2021-12-17

    Applicant: SHOPIFY INC.

    Inventor： Kshetrajna Raghavan ,  Kyle Bruce Tate ,  Peng Yu ,  Niklas Itänen ,  Xiaoxiao Li

    IPC: G06V10/774 ,  G06V10/762 ,  G06V10/776

    CPC classification number: G06V10/7747 ,  G06V10/7635 ,  G06V10/776

    Abstract: A data partitioning system receives an input dataset for e-commerce products, each sample containing attributes and associated values for each product including at least an image; represents each sample as a node on a graph to provide a graph of nodes for the dataset; measures a relative similarity distance between each pair of nodes based on comparing at least image values for the attributes; determines for each pair of nodes whether they are related if the similarity distance between them is below a defined threshold, and if related, generate an edge between them on the graph; group the connected nodes into a first or a second group such that the grouped nodes have no edges connecting them to nodes in the other group and have a shortest relative similarity distance with each other. The groups are used as training dataset and testing data sets for a supervised machine learning classifier.

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