eBay had four patents in regtech during Q1 2024. eBay Inc has developed a tax category prediction model trained on a dataset to accurately predict the tax category for items listed on their online marketplace. The model utilizes text and image embeddings, including BERT for natural language processing, to enhance the identification of tax categories before items are listed for sale. 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 regtech as a theme is 75% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Catalog based embeddings model (Patent ID: US20240013318A1)
The patent filed by eBay Inc. describes a tax category prediction model that uses a tax category prediction dataset to predict the tax category associated with an item listing on an online marketplace. The model is trained using text embeddings generated by a natural language processing model, such as BERT, applied to the text string of the item listing. Additionally, the model can be further enhanced by generating image embeddings for item listings and concatenating them with text embeddings to improve accuracy in predicting tax categories.
The computer-implemented method outlined in the patent involves receiving item listings, applying a natural language processing model to identify text embeddings, mapping these embeddings to tax categories, and training a tax category prediction model. The model can predict tax categories for items based on text and image embeddings, providing users with accurate tax category predictions before listing items for sale. The patent also covers retraining the model based on user feedback to improve predictions and includes features like displaying price information based on tax category predictions. Overall, the patent aims to streamline the process of identifying tax categories for items listed on online marketplaces using advanced natural language processing and image processing techniques.
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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.
