Rakuten Group had 81 patents in digitalization during Q4 2023. The Rakuten Group Inc filed patents related to testing software accuracy for identifying UI elements on webpages, creating planned event protocols for parameter changes in telecommunication networks, detecting fraudulent articles using machine learning models, managing user registration and purchases in a computer system, and personalized customer dunning based on customer data and invoice status. GlobalData’s report on Rakuten Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Rakuten Group grant share with digitalization as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System, method, and computer program for testing the accuracy of software that identifies user interface elements on a webpage (Patent ID: US20230419021A1)
The patent filed by Rakuten Group Inc. describes a system, method, and computer program for testing the accuracy of software that identifies user interface (UI) elements on a webpage. The system allows users to tag UI elements on a webpage with labels, creating a normalized specification that maps UI elements to normalized labels. The auto-identifier software is then used to identify UI elements on the webpage, and the system evaluates its performance based on the stored specification, displaying diagnostics related to its accuracy. The method is particularly useful for testing the accuracy of autofill software on webforms and cart-scraper software on checkout pages.
The claims associated with the patent detail a method performed by a computer system for testing the accuracy of the auto-identifier software, involving tagging UI elements, creating a normalized specification, using the software to identify UI elements, evaluating its performance, and displaying diagnostics. The method covers scenarios where the UI elements are fields, the software is designed to automatically fill in fields on a webform, and the diagnostics include statistics on software performance. Additionally, the patent includes claims for a non-transitory computer-readable medium containing a computer program for testing software accuracy and a computer system with processors and memory units to enable the testing process. These claims emphasize the importance of accurately identifying and evaluating UI elements on webpages for various software applications.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
