Rakuten Group had 51 patents in ecommerce during Q2 2024. The Rakuten Group Inc filed patents in Q2 2024 for innovative systems and methods including a display control system for personalized text display, a system for providing usage-based insurance information, a policy evaluation device using machine learning, a learning model evaluation system for fraud detection, and an information processing apparatus for predicting attributes of objects based on multiple modalities. GlobalData’s report on Rakuten Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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Rakuten Group had no grants in ecommerce as a theme in Q2 2024.

Recent Patents

Application: Display control system, display control method, and information storage medium (Patent ID: US20240211776A1)

The patent filed by Rakuten Group Inc. describes a display control system that utilizes user characteristics information to select and display text contents on a display in a way that highlights partial text contents without requiring input from the user. The system involves acquiring user characteristics information, such as through user reviews, and using a learning model to determine the relevant characteristics for clustering and analysis. The processor executes clustering based on training reviews and contents, creating training data for the learning model to process.

Furthermore, the system can combine user expressions and text contents expressions to acquire user characteristics information, and learning is based on a combination of training review expressions and training contents expressions. The patent also covers the acquisition of user characteristics information from partial user reviews with high appearance frequency and executing feeling analysis on user reviews to inform the display control system. Overall, the patent outlines a method and system for personalized display control based on user characteristics and content analysis without requiring direct user input.

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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.