Rakuten Group. has been granted a patent for an information processing system designed for electronic commerce. The system utilizes machine learning to analyze descriptive text and images of items, generating correspondence information by identifying and detecting objects, and ensuring consistency in referring parts related to those objects. 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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According to GlobalData’s company profile on Rakuten Group, Dynamic premium pricing was a key innovation area identified from patents. Rakuten Group's grant share as of June 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.
Electronic commerce platform with object recognition and correspondence
The patent US12046065B2 describes an advanced information processing system designed to enhance electronic commerce platforms. This system utilizes at least one processor and memory to execute a series of instructions that facilitate the acquisition of descriptive text and images related to items. The system employs two machine learning models: the first model detects objects in images using a region proposal method, while the second model identifies object words from the descriptive text through natural language processing. The system generates correspondence information that links detected objects to their respective object words, allowing for improved consistency in referring parts of the objects. Additionally, it can identify objects without corresponding images and prompt users to add missing images.
Further functionalities of the system include estimating the orientation of detected objects using a specialized orientation recognition model. This model utilizes three-dimensional object data to derive rotation parameters, which are then mapped to predetermined orientation options. The system also generates correspondence information that highlights any referring portions of objects that lack corresponding photographed portions. By integrating these capabilities, the system not only enhances the user experience by displaying relevant information but also ensures that users are notified when additional images are needed, thereby improving the overall quality and accuracy of the electronic commerce platform.
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