eBay had 11 patents in future of work during Q1 2024. eBay Inc filed patents in Q1 2024 related to aspect pre-selection techniques using machine learning for chat bots, computer information retrieval for automatically marking items for removal based on user input, and a system for event messaging over a network. These patents aim to improve user experience, search result relevance, and data processing efficiency on the platform. 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 grant share with future of work as a theme is 54% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Aspect pre-selection using machine learning (Patent ID: US20240095490A1)
The patent filed by eBay Inc. describes aspect pre-selection techniques using machine learning to implement a chat bot that prompts users to specify aspects of a category during natural-language conversations. The system then uses data from these conversations to train a model, which is later used to automatically generate search queries in subsequent conversations without user intervention. This technology aims to enhance user experience by streamlining the search process based on previous interactions.
The method outlined in the patent involves receiving inputs selecting objects in digital images, identifying these objects, extracting categories, generating data on aspects associated with these categories using machine learning, and performing searches for digital content related to the objects based on these aspects. The system also outputs augmented reality digital content, which can be displayed as part of live camera feeds. By utilizing machine learning models specific to users and categories, this technology enables personalized and efficient search processes, ultimately improving the overall user experience.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
