Morristown, NJ, United States of America

Mark Rosenstein


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 175(Granted Patents)


Company Filing History:


Years Active: 2003

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Mark Rosenstein

Introduction: Mark Rosenstein, based in Morristown, NJ, is a distinguished inventor known for his unique contributions to the field of automatic product recommendation systems. His innovative thinking has led to a significant advancement in how users interact with digital content and receive tailored suggestions based on their preferences.

Latest Patents: Mark holds a patent for the invention titled "Automatic recommendation of products using latent semantic indexing of content." This patent describes techniques for utilizing the latent semantic structure of textual content related to items, allowing for automatic recommendations to users. By inputting a selected item, users benefit from a latent semantic algorithm that analyzes both their selection and the textual content in a database. This process generates a measure of conceptual similarity, leading to a curated list of suggested items that align with the user's interests.

Career Highlights: Mark Rosenstein is currently employed at Telcordia Technologies, Inc., a company renowned for its advanced telecommunications research and innovations. His role enables him to engage in pioneering projects that enhance user experiences through cutting-edge technology.

Collaborations: Throughout his career, Mark has collaborated with talented professionals, including coworkers Clifford Behrens and Dennis Egan. Together, they have contributed to various projects, advancing the technological landscape through their collective expertise and innovative ideas.

Conclusion: Mark Rosenstein exemplifies the spirit of innovation through his work in automatic product recommendation systems. His patent not only highlights his inventive capabilities but also demonstrates the potential impact of technological advancements in enhancing user interaction with digital content. As technology continues to evolve, contributions from inventors like Mark will remain essential in shaping the future of automated recommendations.

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