Walmart had 70 patents in digitalization during Q2 2024. Walmart Inc filed patents in Q2 2024 for a method using recurrent neural networks to personalize search terms based on user images and features, a system for identifying objects using radiopaque ink, an identification validation system using biometric data, a combination automated-service and self-service store model for brick-and-mortar locations, and a system for generating composite images combining different subjects. GlobalData’s report on Walmart gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Walmart had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Automatic personalized image-based search (Patent ID: US20240211508A1)
The patent filed by Walmart Inc. describes a method and system for training a recurrent neural network model to personalize search results for users based on their personal features and uploaded images. The system involves training the model using images of items on a website, search terms used by users, and personal features of users. Upon receiving an image uploaded by a user, the system generates personalized search terms based on the user's features and the image content, executing a search on the website using these terms. The method aims to enhance user experience and improve search relevance by tailoring results to individual users.
The system further details the process of training the neural network model, including selecting top-selling items, generating image representation vectors using deep convolutional neural networks, and creating user representation vectors based on personal features. The model is trained using search term data and label encoded representation vectors. By leveraging personal features, image content, and search history, the system can provide more accurate and personalized search results for users. This approach not only enhances the user's shopping experience but also increases the relevance of search results, ultimately benefiting both the user and the e-commerce platform.
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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.
