Coupang had 140 patents in ecommerce during Q1 2024. Coupang Inc filed patents for computer-implemented systems and methods for automatic generation of livestream carousel widgets, optimizing calculations of latency metrics for user experiments, and automatic generation of highlight videos. These systems and methods involve retrieving data related to users and livestreams, organizing candidate livestreams, ranking livestreams based on user data, determining a rank for each livestream, generating a livestream carousel widget, calculating latency metrics for experiments, and generating highlight videos based on user action data and segment highlight scores. GlobalData’s report on Coupang gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Coupang grant share with ecommerce as a theme is 32% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Computerized systems and methods for automatic generation of livestream carousel widgets (Patent ID: US20240103691A1)
The patent filed by Coupang Inc. describes computer-implemented systems and methods for automatically generating livestream carousel widgets. These systems retrieve candidate livestreams based on user data and livestream data, organize them, input relevant data into a ranking model, determine ranks for each livestream, generate a carousel widget based on these ranks, and transmit it for display on a user interface. The first data includes candidate livestreams determined by user action history, while the second data includes livestreams with high click-through or conversion rates, or those currently live. The system also removes duplicate livestreams and utilizes a deep neural network for ranking. The livestream carousel widget can be interactive and based on the highest ranked livestreams.
The claims detail the specific operations of the computer-implemented system, such as retrieving candidate livestreams based on user and livestream data, organizing them, inputting data into a ranking model, determining ranks, generating a carousel widget, and transmitting it for display. The system uses machine learning models to associate livestream IDs with product IDs and considers user demographics in selecting candidate livestreams. It also utilizes a neural network for ranking and includes data such as category ID, brand ID, and product ID for each livestream. The generated carousel widget is interactive and based on the highest ranked livestreams, providing a user-friendly interface for displaying livestream content.
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