Jia Chen

Title: Jia Chen - Innovator in Modeled Advertisement Conversion Attributions

Introduction

Jia Chen is a notable inventor based in Sunnyvale, WA (US). He has made significant contributions to the field of advertisement technology, particularly in the area of modeled advertisement conversion attributions. His innovative work has led to the development of systems and methods that enhance the effectiveness of advertising strategies.

Latest Patents

Jia Chen holds 1 patent for his invention titled "Systems and methods for modeled advertisement conversion attributions." This patent discloses systems, methods, and computer-readable media designed to improve the attribution of advertisement conversions. The method involves receiving first input data that includes advertisement impression data and conversion data, training machine learning models with this data, and predicting conversion data for subsequent advertisement impressions where user identifiers are not available.

Career Highlights

Jia Chen is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning and advertisement technologies. His work focuses on developing advanced systems that optimize advertisement performance and conversion tracking.

Collaborations

Jia has collaborated with talented coworkers, including Sheng Ma and Hancheng Ge, who contribute to the innovative environment at Amazon Technologies, Inc. Their combined efforts enhance the development of cutting-edge advertisement technologies.

Conclusion

Jia Chen's contributions to modeled advertisement conversion attributions exemplify the impact of innovation in advertising technology. His work continues to shape the future of how advertisements are tracked and optimized for better performance.