Stanford, CA, United States of America

Jie Li

This inventor holds 1 USPTO granted patent. Top assignee: Yahoo! Inc.. Active years: 2010.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jie Li. Retrieved from https://idiyas.com/inventor/jie-li-51tdmx2i

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


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 50(Granted Patents)


Company Filing History:


Years Active: 2010

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1 patent (USPTO):Explore Patents

Title: Jie Li - Innovator in User Behavior Detection

Introduction

Jie Li is a notable inventor based in Stanford, California. He has made significant contributions to the field of electronic search engines, particularly in detecting abnormal user behavior during query sessions. His innovative approach enhances the understanding of user interactions with search results.

Latest Patents

Jie Li holds a patent for the invention titled "Detection of abnormal user click activity in a search results page." This invention provides a method for identifying unusual user behavior during a query session initiated by a search request. The search engine generates a results page containing various hyperlinks, and by tracking user activities, a clickstream is created. The invention calculates a probability score for the clickstream, normalizes it, and compares it with scores from similar query sessions to assess the normalcy of the user behavior.

Career Highlights

Jie Li is currently employed at Yahoo! Inc., where he applies his expertise in user behavior analysis. His work focuses on improving search engine technology and enhancing user experience through innovative solutions.

Collaborations

Jie Li collaborates with Narayanan Sadagopan, contributing to advancements in their field through shared knowledge and expertise.

Conclusion

Jie Li's work in detecting abnormal user click activity represents a significant advancement in search engine technology. His contributions continue to shape the way user interactions are understood and analyzed.

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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