Qing Chang

Title: Qing Chang: Inventor in Predictive Search Technology.

Introduction

Qing Chang is an inventor based in Redmond, Washington. Her work includes patent inventions related to website recommendations and search-result relevance. She is associated with Microsoft Technology Licensing, LLC, and has 2 patents.

Latest Patents

Chang’s listed patents address ways to make online search and browsing more useful through predictive recommendations.

“Predictively Suggesting Websites” describes systems that use a person’s recent browsing activity and browser-history patterns to identify websites that may be relevant to the page they are currently viewing. The system ranks candidate websites by their likelihood of relevance and presents the strongest recommendations.

“Best-Bet Recommendations” concerns identifying search results that are especially likely to satisfy a user. It uses observed behavior associated with search results to train a relevance classifier, which can help determine when a result merits a best-bet recommendation for future searches using the same query.

Career Highlights

Chang’s patent work reflects an interest in applying user behavior and predictive models to improve information discovery. Her inventions describe methods for drawing on browsing histories and past search interactions to provide more relevant recommendations.

Collaborations

Chang’s listed coworkers include Roman Holenstein and Zhenghao Wang. Her work is associated with Microsoft Technology Licensing, LLC.

Conclusion

Qing Chang’s two patents focus on predictive website suggestions and search results designed to better match users’ needs.