Mountain View, CA, United States of America

Ievgen Mastierov

USPTO Granted Patents = 8 

Average Co-Inventor Count = 3.9

ph-index = 5

Forward Citations = 91(Granted Patents)


Location History:

  • Odessa, UA (2014)
  • Mountain View, CA (US) (2016 - 2018)

Company Filing History:


Years Active: 2014-2018

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8 patents (USPTO):Explore Patents

Title: Ievgen Mastierov: Innovator in Product Purchase Information Extraction

Introduction

Ievgen Mastierov is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of product purchase information extraction, holding a total of 8 patents. His work focuses on improving systems and methods for extracting product purchase information from electronic messages.

Latest Patents

Mastierov's latest patents include innovative systems designed to extract product purchase information from electronic messages transmitted between physical network nodes. These systems convey product purchase information to designated recipients with high precision across various electronic message formats. His inventions address practical problems arising from the proliferation of different electronic message formats used by individual merchants, as well as across different merchants and languages. The technology is capable of automatically learning the structures and semantics of different message formats, which accelerates the ability to support new message sources, new markets, and different languages.

Career Highlights

Throughout his career, Ievgen Mastierov has worked with prominent companies such as Slice Technologies, Inc. and Project Slice. His experience in these organizations has contributed to his expertise in the field of product information extraction.

Collaborations

Mastierov has collaborated with notable individuals in the industry, including Scott J Brady and Benjamin A Suppe. These collaborations have further enhanced his innovative capabilities and contributions to the field.

Conclusion

Ievgen Mastierov is a distinguished inventor whose work in product purchase information extraction has made a significant impact on the industry. His innovative patents and career achievements reflect his dedication to advancing technology in this area.

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