Minneapolis, MN, United States of America

John Rauser

This inventor holds 3 USPTO granted patents. Top assignees: Thalveg Data Flow LLC, Net Perceptions, Inc.. Active years: 2002-2013.


% Patents Active = 66.7

Average Co-Inventor Count = 2.4

ph-index = 3

Forward Citations = 329(Granted Patents)


Company Filing History:


Years Active: 2002-2013

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3 patents (USPTO):Explore Patents

Title: John Rauser: Innovator in Recommendation Systems

Introduction

John Rauser is an accomplished inventor based in Minneapolis, MN (US). He has made significant contributions to the field of recommendation systems, holding a total of 3 patents. His work focuses on optimizing the processes involved in providing recommendations to users.

Latest Patents

Rauser's latest patents include innovative systems and methods designed to enhance the efficiency of recommendation processes. One of his notable patents is titled "System and method for efficiently providing a recommendation." This invention outlines a method for applying both a recommendation filter and a constraint filter to a variety of items. It emphasizes determining the cost of applying these filters and establishing the order in which they should be applied based on that cost. Another significant patent is "Optimized rule based constraints for collaborative filtering systems." This patent describes a recommendation server that processes requests from users and applies filters to generate tailored recommendations.

Career Highlights

Throughout his career, John Rauser has worked with several companies, including Thalveg Data Flow LLC and Net Perceptions, Inc. His experience in these organizations has allowed him to refine his skills in developing advanced recommendation technologies.

Collaborations

Rauser has collaborated with notable professionals in his field, including Valerie Guralnik and Paul Bieganski. These partnerships have contributed to the advancement of his innovative projects.

Conclusion

John Rauser is a prominent figure in the realm of recommendation systems, with a focus on enhancing user experience through his patented inventions. His contributions continue to influence the development of efficient recommendation technologies.

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