METHOD AND SYSTEM FOR ADAPTIVE PRODUCT CATEGORIZATION

    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.

    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.

    Methods and systems for notifying users of new applications

    公开(公告)号:US11386476B2

    公开(公告)日:2022-07-12

    申请号:US16679463

    申请日:2019-11-11

    Applicant: Shopify Inc.

    Abstract: Methods and systems for managing an online application database and application search. Search queries for applications are received from users. Unfulfilled queries are stored in memory. The platform identifies one or more application features based on the search queries within the stored unfulfilled queries, and generates an application build recommendation specifying the one or more application features. The application build recommendation is output to one or more developer accounts. If a new application is received, the platform may determine whether the new application contains features that sufficiently correspond to the features in one of the application build recommendations. User accounts that submitted the unfulfilled queries that served as the basis for the matching application build recommendation may be notified of the availability of the new application.

    METHOD AND SYSTEM FOR PROVIDING CATEGORY SUGGESTIONS

    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.

    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.

    Methods and systems for generating application build recommendations

    公开(公告)号:US11010156B1

    公开(公告)日:2021-05-18

    申请号:US16679449

    申请日:2019-11-11

    Applicant: Shopify Inc.

    Abstract: Methods and systems for managing an online application database and application search. Search queries for applications are received from users. Unfulfilled queries are stored in memory. The platform identifies one or more application features based on the search queries within the stored unfulfilled queries, and generates an application build recommendation specifying the one or more application features. The application build recommendation is output to one or more developer accounts. If a new application is received, the platform may determine whether the new application contains features that sufficiently correspond to the features in one of the application build recommendations. User accounts that submitted the unfulfilled queries that served as the basis for the matching application build recommendation may be notified of the availability of the new application.

    Methods and systems for generating application build recommendations

    公开(公告)号:US11544053B2

    公开(公告)日:2023-01-03

    申请号:US17231072

    申请日:2021-04-15

    Applicant: Shopify Inc.

    Abstract: Methods and systems for managing an online application database and application search. Search queries for applications are received from users. Unfulfilled queries are stored in memory. The platform identifies one or more application features based on the search queries within the stored unfulfilled queries, and generates an application build recommendation specifying the one or more application features. The application build recommendation is output to one or more developer accounts. If a new application is received, the platform may determine whether the new application contains features that sufficiently correspond to the features in one of the application build recommendations. User accounts that submitted the unfulfilled queries that served as the basis for the matching application build recommendation may be notified of the availability of the new application.

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