Hopkins, MN, United States of America

Michael A Ekhaus

This inventor holds 3 USPTO granted patents. Top assignees: Gibraltar Analytics, Inc., Thalveg Data Flow LLC, Other. Active years: 2007-2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Michael A Ekhaus. Retrieved from https://idiyas.com/inventor/michael-a-ekhaus

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


% Patents Active = 66.7

Average Co-Inventor Count = 1.8

ph-index = 2

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 2007-2012

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3 patents (USPTO):Explore Patents

Title: Michael A Ekhaus: Innovator in High Performance Personalization

Introduction

Michael A Ekhaus is a notable inventor based in Hopkins, MN (US). He has made significant contributions to the field of high performance computing, particularly in the area of client preference recommendations. With a total of 3 patents to his name, Ekhaus continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Method and system for high performance model-based personalization." This invention relates to generating client preference recommendations in a high performance computing environment. The method involves providing a sparse ratings matrix, forming multiple data structures representing this matrix, and creating a runtime recommendation model. The model then determines recommendations based on user requests and provides these recommendations to the user.

Career Highlights

Throughout his career, Michael A Ekhaus has worked with various companies, including Gibraltar Analytics, Inc. His work has focused on enhancing the efficiency and effectiveness of recommendation systems, which are crucial in today's data-driven world.

Collaborations

He has collaborated with notable individuals such as Robert Driskill and Filip Mulier, contributing to the advancement of technology in his field.

Conclusion

Michael A Ekhaus stands out as an innovator in high performance personalization, with a strong portfolio of patents and collaborations that highlight his expertise. His work continues to influence the landscape of client preference recommendations.

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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