Mountain View, CA, United States of America

John Chih Chang Huang

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 6.7

ph-index = 1

Forward Citations = 96(Granted Patents)


Location History:

  • Mountain View, CA (US) (2018)
  • Sunnyvale, CA (US) (2018)

Company Filing History:


Years Active: 2018

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2 patents (USPTO):Explore Patents

Title: Innovations of John Chih Chang Huang

Introduction

John Chih Chang Huang is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of technology, particularly in the area of attribution credit systems. With a total of 2 patents, Huang's work has garnered attention for its innovative approaches to data processing and event tracking.

Latest Patents

Huang's latest patents include "Methods and systems for creating rules for assigning attribution credit across a plurality of events" and "Methods and systems for displaying attribution credit data based on parameters." The first patent outlines a system where a processor identifies conversions at a website and determines attribution credits for events based on their relative positions in identified path types. The second patent focuses on displaying attribution data associated with events, where the processor identifies channels and determines weightings for event-position pairs to provide visual representations of attribution credits.

Career Highlights

Huang is currently employed at Google Inc., where he continues to develop innovative solutions that enhance the understanding of user interactions and event tracking. His work is instrumental in improving how businesses can analyze and assign credit to various marketing channels.

Collaborations

Huang has collaborated with talented individuals such as Bozhena Bidyuk and Chao Cai, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

John Chih Chang Huang's contributions to technology through his patents and work at Google Inc. highlight his role as a leading inventor in the field of attribution credit systems. His innovative approaches continue to shape the way data is processed and understood in the digital landscape.

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