San Jose, CA, United States of America

George Ruan

USPTO Granted Patents = 2 

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Location History:

  • San Jose, CA (US) (2023)
  • Saratoga, CA (US) (2024)

Company Filing History:


Years Active: 2023-2024

Loading Chart...
2 patents (USPTO):Explore Patents

Title: Innovations by George Ruan

Introduction

George Ruan is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of machine learning and online systems. With a total of two patents to his name, Ruan is recognized for his innovative approaches to predicting conversions in online environments.

Latest Patents

Ruan's latest patents focus on machine learning models designed to enhance online ordering systems. One of his patents involves a machine learning model trained to predict conversions, specifically aimed at determining lost conversions due to restrictions in available fulfillment windows or fulfillment costs. This online concierge system utilizes a conversion model that predicts the likelihood of receiving an order based on various input features, including price and availability information. The system applies the conversion model to both current and optimal price availability, generating a metric that reflects the difference between the predicted probabilities of receiving an order.

Career Highlights

George Ruan is currently employed at Maplebear Inc., where he continues to develop innovative solutions in the tech industry. His work has been instrumental in advancing the capabilities of online systems, particularly in the realm of e-commerce and customer engagement.

Collaborations

Ruan collaborates with talented individuals such as Wa Yuan and Ganesh Krishnan, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

George Ruan's contributions to machine learning and online systems exemplify the impact of innovative thinking in technology. His patents reflect a commitment to improving user experiences in e-commerce, showcasing the potential of machine learning in predicting consumer behavior.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…