Company Filing History:
Years Active: 2025
Title: Rucheng Xiao: Innovator in Predictive Modeling for Tipping
Introduction
Rucheng Xiao is an accomplished inventor based in Chicago, IL. He has made significant contributions to the field of predictive modeling, particularly in the context of online ordering systems. His innovative approach aims to enhance user experience by accurately predicting tip amounts based on various contextual features.
Latest Patents
Rucheng Xiao holds a patent for a system that utilizes a predictive model to identify context features causing 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 associated with servicing that order. The system retrieves user features 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
Rucheng Xiao is currently employed at Maplebear Inc., where he continues to develop innovative solutions that leverage machine learning and predictive analytics. His work focuses on improving the efficiency and effectiveness of online service platforms.
Collaborations
Rucheng has collaborated with notable colleagues such as Shuo Feng and Chia-Eng Chang. Their combined expertise contributes to the advancement of technology in the field of online services.
Conclusion
Rucheng Xiao's innovative work in predictive modeling for tipping showcases his commitment to enhancing user experiences in online systems. His contributions are paving the way for more intelligent and responsive service platforms.