eBay had ten patents in social media during Q1 2024. eBay Inc filed patents in Q1 2024 for dynamic link preview generation, real-time feed generation in a marketplace, and matching influencers with products using machine learning. These patents aim to improve user experience and engagement on the platform by providing customized link previews, continuously updating feeds, and connecting influencers with relevant products. GlobalData’s report on eBay gives a 360-degree view of the company including its patenting strategy. Buy the report here.
eBay grant share with social media as a theme is 60% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamic link preview generation (Patent ID: US20240104157A1)
The patent filed by eBay Inc. describes dynamic link preview generation techniques that address the limitations of conventional methods by enabling a content provider system to generate link previews for digital content accessible via a network address. The system identifies the communication platform of a service provider system based on a request received, locates customization data describing how the link preview should be generated for that platform, and renders the digital content available via the network address to create the link preview. The method involves machine learning models trained on user interactions with link previews to generate customization data that influences the characteristics of the link preview, such as the digital image to be included, the portion of the content to display, and the resolution of the content.
The patent claims detail a method implemented by computing devices to receive requests for digital content, generate customization data based on user interactions with link previews, create link previews of the digital content, and communicate them to the request originator. The customization data influences various aspects of the link preview, such as the image selection, content portion inclusion, and resolution specification. The patent also covers a non-transitory computer-readable storage medium with executable instructions for performing the operations described in the method, as well as a system comprising hardware processors and a computer-readable storage medium to execute the operations. The system utilizes machine learning models to generate customization data that enhances the link preview generation process based on user interactions and characteristics of the digital content.
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