Vestal, NY, United States of America

Matthew Starr


Average Co-Inventor Count = 8.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2012-2017

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3 patents (USPTO):

Title: Innovations of Matthew Starr

Introduction

Matthew Starr is an accomplished inventor based in Vestal, NY (US). He has made significant contributions to the field of technology, particularly in search result optimization. With a total of 3 patents, his work has garnered attention for its innovative approach to enhancing user experience in web searches.

Latest Patents

One of Matthew Starr's latest patents is titled "Control for Persistent Search Results and Iterative Searching." This invention provides a method for controlling persistent search results and iterative searching. It involves receiving a query from a user via a web browser and performing a web search for that query using a processor. The search results are displayed in a toolbar of the web browser, where at least one of the results includes a refinement option. This refinement option can allow users to select "show me more like this" or "show me less like this," enabling a more tailored search experience. The selected refinement option is then processed, and refined search results are displayed accordingly.

Career Highlights

Matthew Starr is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in the field. His innovative mindset and technical expertise have positioned him as a valuable asset to the company.

Collaborations

Matthew has collaborated with notable coworkers such as Jason Matthew Blackwell and Kevin Chiu. These collaborations have fostered a creative environment that encourages the development of groundbreaking ideas and solutions.

Conclusion

Matthew Starr's contributions to technology through his patents and work at IBM highlight his role as a leading inventor in the field. His innovative approaches to search result optimization continue to influence user experience in web technologies.

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