公开(公告)号：US20230139339A1

公开(公告)日：2023-05-04

申请号：US17881961

申请日：2022-08-05

Applicant: Shopify Inc.

Inventor： Kyle Bruce Tate ,  Xinyi Zhao

IPC: G06Q30/02

Abstract: A method at a computing device for adaptive product categorization, the method including monitoring adoption of custom categories by merchants, the custom categories being custom additions to a standard taxonomy; clustering the custom categories to form clusters having associated cluster values; determining that a cluster value for a particular one of the custom categories exceeds a threshold; and adapting the standard taxonomy based on the particular one of the custom categories.

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.

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.

公开(公告)号：US11386488B2

公开(公告)日：2022-07-12

申请号：US16508619

申请日：2019-07-11

Applicant: SHOPIFY INC.

Inventor： Saad Atieque ,  Kyle Bruce Tate

IPC: G06Q40/02 ,  G06N20/00 ,  G06Q20/12

Abstract: Systems and methods are provided for automatically making a decision as to whether or not to over an installment payment (IP) option to a customer at checkout at an online retailer for goods or services. The IP decision is made, at least in part, based on the specific product or products being purchased. In some cases, it is also based on merchant-specific information and/or customer specific information.

公开(公告)号：US12008573B2

公开(公告)日：2024-06-11

申请号：US17154208

申请日：2021-01-21

Applicant: SHOPIFY INC.

Inventor： Kyle Bruce Tate ,  Ronie Miguel Uliana

IPC: G06F16/901 ,  G06Q20/12 ,  G06Q20/40

CPC classification number: G06Q20/4016 ,  G06F16/9024 ,  G06Q20/12

Abstract: An e-commerce platform may be subject to fraudulent activity. In some embodiments, a graph is used to represent the connection between users of the e-commerce platform. The graph may be built and maintained using a belief propagation algorithm. The graph may be used to assign, to each user, the probability that the user is fraudulent. In some embodiments, the use of the graph and updating the graph are two independent operations: one performed in real-time, and the other performed offline. In some embodiments, additional information may be requested from a user if the user is assigned a high probability of being fraudulent, in order to try to better determine whether or not the user is a fraudulent user. The embodiments are not limited to an e-commerce platform, but may generally apply to any computer system in which there is a desire to detect fraudulent activity.

公开(公告)号：US11907992B2

公开(公告)日：2024-02-20

申请号：US17712210

申请日：2022-04-04

Applicant: Shopify Inc.

Inventor： Niklas Itaenen ,  Kshetrajna Raghavan ,  Xiaoxiao Li ,  Kyle Bruce Tate ,  Siphumelele Langeni ,  Peng Yu

IPC: G06K9/00 ,  G06Q30/0601 ,  G06T7/90 ,  G06F16/583

CPC classification number: G06Q30/0627 ,  G06F16/5838 ,  G06T7/90 ,  G06T2207/20132

Abstract: Computer-implemented methods and systems for colour-based image tagging and colour-based searching. The method may include identifying, using image analysis, one or more dominant colours of a product based on an image of the product and receiving selection of at least one of the one or more dominant colours. In response to receiving the selection of the at least one of the one or more dominant colours, a search for products matching the at least one of the one or more dominant colours may be initiated to obtain one or more results of the searching, the one or more results including at least one product matching the at least one of the one or more dominant colours.