eBay had five patents in big data during Q1 2024. eBay Inc filed patents in Q1 2024 for systems and methods to identify valuable view item pages for search engine optimization, improving on existing systems by predicting future traffic based on product factors. Another patent involves training a machine learning model to determine item margins by monitoring values for different types of items and using the data as training data for the model. 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 big data 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: Search engine optimization by selective indexing (Patent ID: US20240086383A1)

The patent filed by eBay Inc. involves a system and methods for identifying valuable view item pages for search engine optimization. The system improves upon existing systems by predicting the probability of future traffic for a product based on various factors and selecting view item pages with the highest probability of future traffic to maximize natural search traffic to a linked site. The system calculates a search traffic value for an item, assigns an index status to the item based on this value, identifies corresponding pages, assigns index tags to those pages, and returns them in response to search requests.

The system further includes generating a machine-learned model data object based on item level factors, such as a gradient boosted machine model, to calculate the search traffic value. It also involves identifying additional pages or items, assigning a no-index tag to those with low search traffic values, and determining input variables associated with the item to calculate the search traffic value. The method and machine-readable medium versions of the system follow similar processes, emphasizing the importance of predicting future traffic and optimizing search results based on calculated values and factors.

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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.