Walmart had 48 patents in artificial intelligence during Q2 2024. Walmart Inc filed patents in Q2 2024 for methods and systems involving personalized search recommendations based on user images and personal features, detecting and correcting label noises in historical data for machine learning training, creating composite images combining different subjects, computer-vision-based detection and identification of consumer products, and automated person detection and notification in retail locations using imaging data. 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 artificial intelligence 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, search terms, and user features, then generating personalized search terms for a current user based on their uploaded image and personal features. These personalized search terms are then used to execute a search on the website for items depicted in the uploaded image. The system also includes training the model using top-selling items, deep convolutional neural networks, and autoencoder neural networks to create encoded representation vectors for images and users, as well as deriving search terms from user search data.
The method and system outlined in the patent aim to enhance the user experience by providing personalized search results based on uploaded images and user features. By training the model using various data sources and neural network architectures, the system can generate accurate and relevant search terms tailored to individual users. This approach leverages deep learning techniques to create encoded representations for images and users, enabling the system to effectively match user preferences with items available on the website. Overall, the patent highlights Walmart Inc.'s innovative use of neural networks to improve search functionality and user engagement on their 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.
