Pleasanton, CA, United States of America

John Ziqiang Wang

This inventor holds 1 USPTO granted patent. Top assignee: Walmart Apollo, LLC. Active years: 2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: John Ziqiang Wang. Retrieved from https://idiyas.com/inventor/john-ziqiang-wang

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations of John Ziqiang Wang

Introduction

John Ziqiang Wang is an accomplished inventor based in Pleasanton, CA. He has made significant contributions to the field of technology, particularly in the area of recommendation systems. His innovative work has led to the development of a patent that enhances online payment systems.

Latest Patents

John holds a patent for "Predictive item bundling recommendation systems and methods." This patent describes a method that generates a list of candidate items that can be associated with a base item to form various bundles. The method also displays this list to users in a ranked order, improving the user experience in online shopping.

Career Highlights

John is currently employed at Walmart Apollo, LLC, where he continues to innovate and develop new technologies. His work at Walmart Apollo has allowed him to apply his expertise in practical applications that benefit consumers.

Collaborations

John has collaborated with notable colleagues such as Srikannan Gopalsamy and Pavel Kalinin. These partnerships have fostered a creative environment that encourages the exchange of ideas and advancements in technology.

Conclusion

John Ziqiang Wang is a notable inventor whose work in predictive item bundling has the potential to transform online payment systems. His contributions to technology reflect his dedication to innovation and improving user experiences.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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