Ziwei Shi

Title: Innovations by Ziwei Shi in Predictive Modeling for Tipping

Introduction

Ziwei Shi is an innovative inventor based in San Francisco, CA. He has made significant contributions to the field of predictive modeling, particularly in the context of online ordering systems. His work focuses on enhancing user experience by predicting tipping behavior based on various contextual and user features.

Latest Patents

Ziwei Shi holds a patent for a system that utilizes a predictive model to identify context features that lead to above-average tip amounts. The patent describes an online system that receives information about an order placed by a user and a set of contextual features related to servicing that order. The system retrieves user features associated with the individual and accesses a machine learning model trained to predict the tip amount the user is likely to provide. By applying this model to the relevant inputs, the system determines a suggested tip amount based on the predicted value.

Career Highlights

Ziwei Shi is currently employed at Maplebear Inc., where he continues to develop innovative solutions that enhance the efficiency of online services. His work is characterized by a strong emphasis on machine learning and user-centric design.

Collaborations

Ziwei has collaborated with notable colleagues, including Shuo Feng and Chia-Eng Chang, who contribute to the dynamic environment at Maplebear Inc. Their combined expertise fosters a culture of innovation and creativity within the company.

Conclusion

Ziwei Shi's contributions to predictive modeling in online systems exemplify the intersection of technology and user experience. His patent reflects a forward-thinking approach that enhances service interactions in the digital age.