SYSTEM, METHOD, AND COMPUTER PROGRAM FOR IDENTIFYING ORDER-RELATED DATA ON A WEBPAGE USING MACHINE LEARNING

    公开(公告)号:US20230095226A1

    公开(公告)日:2023-03-30

    申请号:US17489678

    申请日:2021-09-29

    IPC分类号: G06Q30/06 G06N3/08

    摘要: The present disclosure relates to a system, method, and computer program for identifying order-related data on a webpage using machine learning. The system identifies one or more HTML blocks on a webpage for further processing, where each HTML block includes one or more HTML tags that are each associated with metadata and a value. The system converts each of the HTML tags into a vector representation. The system applies a neural network model to each of the vector representations, resulting in another vector representation, which is converted into a machine-generated label prediction for each tag, where the neural network model is trained to predict labels, including order-related labels, corresponding to HTML tags. The system identifies order-related data on the webpage from the machine-generated label predictions for the HTML tags and the corresponding tag values. The system outputs the identified order-related data.

    SYSTEM, METHOD, AND COMPUTER PROGRAM FOR TESTING THE ACCURACY OF SOFTWARE THAT IDENTIFIES USER INTERFACE ELEMENTS ON A WEBPAGE

    公开(公告)号:US20230214585A1

    公开(公告)日:2023-07-06

    申请号:US17566233

    申请日:2021-12-30

    摘要: The present disclosure relates to a system, method, and computer program for testing the accuracy of software that identifies user interface (UI) elements on a webpage (“the auto-identifier software”). The system enables a user to tag UI elements on a webpage with labels. The system creates a normalized specification for the webpage, where the specification includes a mapping of UI elements to normalized labels. The system uses the auto-identifier software to identify UI elements on the webpage. The system evaluates the performance of the auto-identifier software with respect to the webpage using the specification. The system displays diagnostics related to the performance of the auto-identifier software. In certain embodiments, the method is used for testing the accuracy of autofill software on a webform. In certain embodiments, the method is used for testing the accuracy of cart-scraper software on a checkout page.

    SYSTEM, METHOD, AND COMPUTER PROGRAM FOR AUTOMATIC COUPON CODE FILL IN A MOBILE APPLICATION

    公开(公告)号:US20230095187A1

    公开(公告)日:2023-03-30

    申请号:US17490732

    申请日:2021-09-30

    摘要: The present disclosure relates to a system, method, and computer program for automatic coupon code fill in a mobile application. The system identifies a checkout page in a WebView of a mobile application and extracts field data from the checkout page. The system identifies a coupon code field and a cart total field from the field data. The system obtains one or more coupon code(s) and tests the one or more coupon code(s) in the checkout page. The one or more coupon code(s) are tested in the identified coupon code field to determine whether any of the coupon code(s) cause the value associated with the cart total field to decrease. In response to one or more coupon code(s) providing a reward on the checkout page, the system identifies a best coupon code, which it inserts in the identified coupon code field in the checkout page in the mobile application.