Shuguang Han

Title: Shuguang Han: Innovator in Dynamic Content Crawling

Introduction

Shuguang Han is a notable inventor based in Sunnyvale, CA. He has made significant contributions to the field of dynamic content crawling, particularly through his innovative patent. His work focuses on enhancing the efficiency of crawling commercial offer pages in highly dynamic environments.

Latest Patents

Shuguang Han holds a patent titled "Adversarial bandits policy for crawling highly dynamic content." This patent introduces techniques for generating recrawl policies that utilize a multiple strategy approach. Each strategy is designed as an arm of a K-armed adversarial bandits algorithm, incorporating reinforcement learning. Additionally, the approach employs machine learning algorithms to estimate critical parameters such as click rates, impression rates, and likelihood of price changes, which were traditionally assumed to be known.

Career Highlights

Shuguang Han is currently employed at Google Inc., where he continues to develop innovative solutions in the realm of content crawling. His expertise in machine learning and reinforcement learning has positioned him as a valuable asset in the tech industry.

Collaborations

Throughout his career, Shuguang has collaborated with talented individuals such as Michael Bendersky and Przemysław Gajda. These collaborations have further enriched his work and contributed to advancements in the field.

Conclusion

Shuguang Han's contributions to the field of dynamic content crawling through his innovative patent demonstrate his commitment to advancing technology. His work at Google Inc. and collaborations with other experts highlight his significant role in the industry.