eBay had 146 patents in digitalization during Q4 2023. eBay Inc’s patents in Q4 2023 focus on improving transaction conversion probabilities using machine learning, analyzing images for visual search refinement, distributing information at variable rates based on user behavior, controlling feature testing through experimentation, and enhancing item retrieval using search query categorization matching query intent. GlobalData’s report on eBay gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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eBay grant share with digitalization as a theme is 53% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamic transaction system using counterfactual machine-learning analysis (Patent ID: US20230419396A1)
The patent filed by eBay Inc. describes systems and methods that utilize counterfactual machine-learning analysis to enhance the likelihood of transaction conversion. The system trains a model using data from previous transactions to determine the probability of transaction conversion based on user account behavior. By monitoring user actions related to a potential purchase, user and item attributes are identified to calculate the conversion probability. If the probability falls below a set threshold, counterfactual analysis is conducted to pinpoint changes to the item that would increase the probability, which can then be automatically implemented without human intervention.
Furthermore, the method involves tracking multiple user actions, such as displaying a cart interface or saving an item to a list, to determine adjusted probabilities for transaction conversion. Adjustments to the item, such as cost reductions, upgraded options, or quantity discounts, are dynamically made based on user behavior to optimize the conversion probability. The system also includes retraining the conversion probability model with new transaction data and utilizes a long short-term memory model to incorporate user behavior leading up to the initial action. Overall, the patent outlines a sophisticated approach to leveraging machine learning and user behavior analysis to enhance transaction conversion rates on the eBay platform.
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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.
