eBay had 50 patents in artificial intelligence during Q1 2024. eBay Inc’s patents filed in Q1 2024 focus on improving search technologies and information retrieval by ranking search results based on user queries, generating dynamic link previews for digital content, enhancing search result accuracy through multimodal embedding modifiers, implementing aspect pre-selection techniques using machine learning, and identifying valuable view item pages for search engine optimization to maximize natural search traffic. 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 artificial intelligence as a theme is 44% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Computer search engine ranking for accessory and sub-accessory requests (Patent ID: US20240104621A1)
The patent filed by eBay Inc. focuses on improving search technologies and information retrieval by utilizing machine learning models to rank search results based on queries related to sub-accessories of accessories in an electronic marketplace. The system receives queries for sub-accessories, determines semantic relationships between the query and search result candidates, and ranks the results accordingly. By using historical query features, title features, and knowledge graph information, the system predicts and prioritizes search results related to sub-accessories over those related only to accessories or items.
The computerized system and method described in the patent involve receiving queries for sub-accessories of accessories in an electronic marketplace, encoding search results as vectors, and utilizing machine learning models to determine and rank search results based on the query. By incorporating word embedding models, knowledge graphs, and classifier machine learning models, the system can accurately identify sub-accessories and generate relevant search results for users. This technology aims to enhance the search experience for users looking for specific sub-components or supplemental accessories within a larger item, ultimately improving the efficiency and accuracy of search results in an online marketplace environment.
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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.
