San Jose, CA, United States of America

Guanglei Song

USPTO Granted Patents = 11 

Average Co-Inventor Count = 4.6

ph-index = 4

Forward Citations = 61(Granted Patents)


Company Filing History:


Years Active: 2012-2019

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11 patents (USPTO):

Title: Guanglei Song: Innovator in Data Mining and Search Optimization

Introduction

Guanglei Song is a prominent inventor based in San Jose, CA, known for his contributions to data mining and search optimization technologies. With a total of 11 patents to his name, he has made significant advancements in the field, particularly in understanding user behavior and improving search result relevancy.

Latest Patents

Among his latest patents, Guanglei Song has developed a system and method for mining category aspect information. This innovation involves accessing a table comprising joined data that includes historical user behavior data, publication descriptions, and determined categories for each publication. By determining demand scores based on this data, the system identifies the most relevant aspect name and value pairs for a category, visually distinguishing relevant publications from less relevant ones.

Another notable patent focuses on methods and systems for selecting an optimized scoring function for ranking item listings in search results. This involves simulating searches to evaluate various scoring functions used in ordering item listings. The simulation platform processes search result sets and compares the actual positions of item listings with their positions in the simulated results, providing metrics to inform decisions about scoring functions.

Career Highlights

Guanglei Song has worked with notable companies such as eBay, Incorporated and PayPal, Inc. His experience in these leading technology firms has allowed him to refine his skills in data analysis and search optimization, contributing to his innovative patent portfolio.

Collaborations

Throughout his career, Guanglei has collaborated with talented individuals, including Sanjay Pundlkrao Ghatare and Qian Zhong. These collaborations have further enriched his work and led to the development of impactful technologies.

Conclusion

Guanglei Song's innovative work in data mining and search optimization has significantly influenced how user behavior is analyzed and how search results are ranked. His contributions continue to shape the landscape of technology and improve user experiences in digital environments.

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