Mountain View, CA, United States of America

Jierui Xie


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Jierui Xie

Introduction

Jierui Xie is a prominent inventor based in Mountain View, CA. He is known for his contributions to the field of machine learning and content selection. With a focus on enhancing the accuracy of machine learning models, Jierui has made significant strides in the technology sector.

Latest Patents

Jierui Xie holds a patent titled "Assessing accuracy of a machine learning model." This innovative patent addresses the balancing of content distribution between a machine learning model and a statistical model. The approach provides a baseline assurance while leveraging the advantages of a well-trained machine learning model for content selection. In this implementation, a server receiving requests for a content item assigns a first proportion of the requests to a first group and the remaining requests to a second group. The server utilizes a machine learning model to select variations of the requested content for the first group and a statistical model for the second group. Performance information, such as acceptance rates for different variations, is obtained and compared to evaluate the effectiveness of the models used for content selection. The audience share assigned to the machine learning model is adjusted based on its performance relative to the statistical model.

Career Highlights

Jierui Xie is currently employed at Google Inc., where he continues to innovate and contribute to advancements in technology. His work focuses on improving machine learning applications and enhancing user experiences through intelligent content selection.

Collaborations

Some of Jierui's notable coworkers include Sue Yi Chew and Deepak Ramamurthi Sivaramapuram Chandrasekaran. Their collaborative efforts contribute to the innovative environment at Google Inc.

Conclusion

Jierui Xie's work exemplifies the intersection of machine learning and content distribution, showcasing his commitment to advancing technology. His patent reflects a deep understanding of model performance and user engagement, marking him as a significant figure in the field of innovation.

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