Beijing, China

Chune Lan

This inventor holds 1 USPTO granted patent. Top assignee: Boe Technology Group Co., Ltd.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chune Lan. Retrieved from https://idiyas.com/inventor/chune-lan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Chune Lan - Innovator in Shopping Recommendation Technology

Introduction

Chune Lan is a notable inventor based in Beijing, China. He has made significant contributions to the field of shopping technology through his innovative patent. His work focuses on enhancing the shopping experience by utilizing voice recognition and data analysis.

Latest Patents

Chune Lan holds a patent for a "Shopping recommendation method, client, and server." This patent outlines a method that includes acquiring voice information from a user, performing voice recognition and keyword extraction, and generating personalized shopping recommendations based on the user's interests. The system transmits shopping keyword information to a server, which predicts user interests and generates tailored recommendation content for display.

Career Highlights

Chune Lan is associated with Boe Technology Group Co., Ltd., a leading company in display technology and smart solutions. His role at the company allows him to work on cutting-edge innovations that bridge technology and consumer needs.

Collaborations

Chune Lan collaborates with talented individuals such as Xiangyang Liu and Tong Liu, who contribute to the development of advanced technologies in their respective fields.

Conclusion

Chune Lan's innovative work in shopping recommendation technology exemplifies the intersection of voice recognition and consumer behavior analysis. His contributions are paving the way for more personalized shopping experiences in the digital age.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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