Redmond, WA, United States of America

Raphael Dominik Hoffmann

This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2016.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Raphael Dominik Hoffmann: Innovator in Semantic Query Tagging

Introduction

Raphael Dominik Hoffmann is an accomplished inventor based in Redmond, WA (US). He has made significant contributions to the field of semantic technology, particularly in enhancing user search experiences through innovative query tagging techniques.

Latest Patents

Hoffmann holds a patent titled "Acquisition of semantic class lexicons for query tagging." This patent focuses on improving a user's search experience by providing additional content based on an understanding of the user's intent. The technique of query tagging involves assigning semantic labels to terms within a query to determine the context of a user's search. Hoffmann's model utilizes stratified lexicons and graph learning techniques to expand the set of phrases and their probabilities, ultimately enhancing the query tagging process.

Career Highlights

Hoffmann is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in semantic technologies. His work has been instrumental in developing advanced search algorithms that cater to user intent, thereby improving the overall search experience.

Collaborations

Hoffmann has collaborated with notable colleagues, including Ye-Yi Wang and Xiao Li. These partnerships have contributed to the advancement of innovative solutions in the realm of semantic query tagging.

Conclusion

Raphael Dominik Hoffmann is a key figure in the field of semantic technology, with a focus on enhancing search experiences through innovative query tagging methods. His contributions continue to shape the future of user interaction with search engines.

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