Zollikon, Switzerland

Thomas Hofmann

USPTO Granted Patents = 13 

Average Co-Inventor Count = 2.5

ph-index = 9

Forward Citations = 833(Granted Patents)


Location History:

  • Barrington, RI (US) (2004 - 2008)
  • Zollikon, CH (2011 - 2014)
  • Darmstadt, DE (2009 - 2015)
  • Schwyz, CH (2016)
  • Wollerau, CH (2018)

Company Filing History:


Years Active: 2004-2018

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13 patents (USPTO):Explore Patents

Title: Thomas Hofmann: Innovator in News Processing and Text Classification

Introduction

Thomas Hofmann is a prominent inventor based in Zollikon, Switzerland. He has made significant contributions to the fields of news processing and text classification, holding a total of 13 patents. His work has influenced how information is aggregated and classified in the digital age.

Latest Patents

Hofmann's latest patents include "Relevance determination and summary generation for news objects." This invention focuses on aggregating news documents from multiple sources and grouping them into collections based on related content. The relevance of each collection is measured concerning the objects described, allowing for efficient information retrieval. Another notable patent is "Construction of text classifiers," which outlines methods for constructing classifiers that filter and score candidate phrases for specific topics. This innovation enhances the accuracy of text classification by adjusting weights based on document length.

Career Highlights

Throughout his career, Hofmann has worked with notable companies such as Recommind, Inc. and Google Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and information processing.

Collaborations

Hofmann has collaborated with several professionals in his field, including Jan Puzicha and Jan Christian Puzicha. These collaborations have fostered a creative environment that has led to the development of impactful technologies.

Conclusion

Thomas Hofmann's contributions to news processing and text classification demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of information aggregation and classification, making him a significant figure in his field.

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