Zengguang Wang

Title: Zengguang Wang: Innovator in Proximal Factorization Machine Technology

Introduction

Zengguang Wang is a notable inventor based in Foster City, CA. He has made significant contributions to the field of machine learning and data analysis. His innovative work has led to the development of a unique patent that enhances the capabilities of predictive modeling.

Latest Patents

Zengguang Wang holds a patent for a "Proximal Factorization Machine Interface Engine." This invention describes techniques for training and evaluating a proximal factorization machine engine. The engine processes a set of training data that identifies actions taken by multiple users regarding various items. It generates model parameters that represent relationships between user features and actions, as well as interactions between different user features and items. The engine computes probabilistic scores for each item and selects a subset of items based on these scores.

Career Highlights

Zengguang Wang is currently employed at Oracle International Corporation, where he applies his expertise in machine learning and data analysis. His work at Oracle has allowed him to collaborate with other talented professionals in the field.

Collaborations

Some of Zengguang Wang's coworkers include Michael Edward Pearmain and Janet Barnes. Their collective efforts contribute to the advancement of technology within their organization.

Conclusion

Zengguang Wang's innovative contributions to the field of machine learning, particularly through his patent on the proximal factorization machine interface engine, highlight his role as a significant inventor in the tech industry. His work continues to influence advancements in predictive modeling and data analysis.