Bei Huang

Title: Innovations by Inventor Bei Huang

Introduction

Bei Huang is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data management and machine learning, holding a total of 10 patents. His work focuses on innovative methods for mapping topics and recommending assistance offerings.

Latest Patents

One of Bei Huang's latest patents is titled "Mapping of topics within a domain based on terms associated with the topics." This invention relates to a method for mapping topics by obtaining terms, tokens from each term, and identifying sets of topics. The method analyzes tokens for relevance and selects high-relevance tokens as topic names. It also establishes a mapping between similar topics based on similarity values derived from the terms.

Another significant patent is the "Method and system for recommending assistance offerings." This invention identifies assistance offerings relevant to users of a data management system. It employs a multivariate random forest regression machine learning process to train a recommendation model, enhancing accuracy by replacing zero values in the training data with negative numbers.

Career Highlights

Bei Huang is currently employed at Intuit, Inc., where he continues to innovate and develop new technologies. His work has had a substantial impact on improving data management systems and user experience.

Collaborations

Some of his notable coworkers include Nhung Ho and Meng Chen, who collaborate with him on various projects within the company.

Conclusion

In summary, Bei Huang is a distinguished inventor whose work in data management and machine learning has led to multiple patents and significant advancements in the field. His innovative methods continue to shape the future of technology.