Cupertino, CA, United States of America

Dimitris Margaritis

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Inventor Spotlight: Dimitris Margaritis and His Contributions to Document Relevance

Introduction: Dimitris Margaritis, based in Cupertino, California, is an innovative inventor who has made significant strides in the field of document relevance. With a keen focus on optimizing relevance functions, he has successfully earned a patent that showcases his expertise in this technical arena.

Latest Patents: Dimitris holds a patent titled "Ranking non-product documents," which encompasses systems, methods, and apparatus designed for assessing the relevance of documents to queries. This invention introduces an optimized relevance function that determines the relevance value of documents of one type linked to another. The function is strategically designed to meet specific criteria, ensuring that the relevance values correlate closely with existing methods applied to a training set of documents. The functionality allows users to adjust the relevance fit, enhancing the search result accuracy by ranking documents effectively.

Career Highlights: Currently, Dimitris Margaritis is employed at A9.com, Inc., a company that emphasizes innovation and development in search technologies. His work there, particularly in the realm of document relevance, positions him as a key figure in advancing search efficiencies.

Collaborations: Dimitris has collaborated with esteemed professionals such as Benoit J Dupin and Steve Martin. Their combined expertise fosters a rich environment of innovation, contributing to groundbreaking advancements in the search and document relevance landscape.

Conclusion: Dimitris Margaritis's contributions to the field of document relevance through his innovative patent are indicative of his expertise and vision within the industry. His work continues to influence the way documents are retrieved and ranked, ultimately enhancing user experience in information discovery.

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