eBay had 37 patents in artificial intelligence during Q2 2024. eBay Inc’s patents filed in Q2 2024 include techniques for virtual environment arrangement and configuration in a virtual reality platform, automatic ordering of consumable items based on image input and account consumption levels, understanding emojis in online experiences, predicting release dates of items using rule sets, and a system for retrieving listings on an online marketplace based on multi-modality requests. GlobalData’s report on eBay gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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eBay had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Virtual environment arrangement and configuration (Patent ID: US20240193674A1)
The patent filed by eBay Inc. describes techniques for arranging and configuring a virtual environment using virtualization on a virtual reality platform. The virtual environment consists of virtual stores along virtual streets, containing digital content that can initiate transactions. The configuration of the virtual environment is based on inputs from users, providers, and machine learning algorithms.
The method outlined in the patent involves training a machine learning model to manage the arrangement of virtual stores within the virtual environment, receiving requests from client devices to access the platform, determining the arrangement of virtual stores based on the requests and machine learning model, generating the virtual environment with the determined arrangement, and outputting it to the client devices. The arrangement can be based on user data, customization data, past user interactions with digital content, and indicators within the virtual environment. Additionally, the patent describes the use of tags and likelihoods to group virtual stores based on user interests. The patent also covers the implementation of these techniques on computing devices and non-transitory computer-readable storage media.
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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.
