Coupang had 16 patents in artificial intelligence during Q4 2023. Coupang Inc’s patent filed in Q4 2023 focuses on generating and presenting relevant product search results based on a user’s past purchase history. The method involves retrieving user product search queries, historical purchase data, and experimental data to determine queried product categories, generate a hierarchical list of historical product categories, rank product search results, and present them to the user using machine learning algorithms. GlobalData’s report on Coupang gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Coupang grant share with artificial intelligence as a theme is 31% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for selecting and presenting products based on past purchases (Patent ID: US20230316369A1)
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The patent filed by Coupang Inc. discloses systems and methods for generating and presenting product search results based on a user's past purchase history. The method involves retrieving user product search queries, historical purchase data, and experimental data on product categories. Machine learning algorithms are used to determine queried product categories, generate historical product category lists, and rank search results based on past purchase history. The system aims to provide relevant search results to users by considering their purchase patterns and preferences.
The computer-implemented system outlined in the patent includes retrieving user queries, historical purchase data, and experimental data on product categories. Machine learning algorithms are utilized to determine attributes associated with the query, generate queried product categories, and rank search results based on relevancy metrics. The system also standardizes search queries using natural language processing and caches historical purchase data for efficient access. By analyzing user purchase history and search patterns, the system aims to enhance the search experience by presenting personalized and relevant product search results to users.
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