ZTE had two patents in ecommerce during Q1 2024. ZTE Corp has filed a patent for a recommendation method that involves generating item recommendation ranks for users, obtaining feedback on these recommendations, aggregating user experiences, and updating the recommendation policy network accordingly. GlobalData’s report on ZTE gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ZTE grant share with ecommerce as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Recommendation method, apparatus, electronic device, and storage medium (Patent ID: US20240005170A1)

The patent filed by ZTE Corp. discloses a recommendation method that involves generating item recommendation ranks for users based on a policy network, obtaining user feedback on these recommendations, aggregating user experiences into a global pool, and updating the policy network based on these experiences. The method includes various steps such as obtaining user states, initial item scores, rewards, and matching weights, as well as utilizing knowledge graphs and embedding models to enhance the recommendation process.

Furthermore, the patent details the process of obtaining an updated policy network from the global experience pool by sampling experiences, considering time difference errors, and prioritizing experiences based on these errors. The electronic device described in the patent includes a processor and memory to execute the recommendation method, while a non-transitory computer-readable storage medium stores a program that implements the method. Overall, the patent outlines a comprehensive approach to improving recommendation systems by leveraging user feedback and global experiences to enhance the accuracy and effectiveness of item recommendations.

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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.