Company Filing History:
Years Active: 2010-2019
Title: Exploring the Innovations of Inventor Michael Mathieson
Introduction
Michael Mathieson, an accomplished inventor based in Sunnyvale, California, has made significant contributions to the fields of search technology and machine learning. With a total of five patents to his name, Mathieson is recognized for developing innovative methods that enhance the efficiency and accuracy of search results.
Latest Patents
Among his latest patents, Mathieson has introduced groundbreaking systems and methods for search result ranking using machine learning. This patent outlines a goal model that can be developed utilizing machine learning techniques. When given a search query, various data factors are inputted into this model to derive an output that presents search results to users based on refined data analysis.
Another notable patent by Mathieson focuses on assessing excessive accessory listings in search results. This patent describes a unique system and method that employs a processor-implemented textual mining module, which parses data fields of documents to generate tokens and calculate scores indicating their classification likelihood. Additionally, a decision tree module inputs these scores alongside document attributes to produce a refined output score.
Career Highlights
Over the course of his career, Mathieson has held key positions at renowned companies such as eBay, Inc. and Yahoo! Inc. His work at these leading technology firms has allowed him to explore the intersection of search algorithms and machine learning, paving the way for several of his successful patent applications.
Collaborations
During his career, Michael Mathieson has collaborated with talented professionals, including Parashuram Kulkarni and Abdelhalim Abbas. These collaborations highlight his commitment to teamwork and innovation, driving forward the advancement of search technologies.
Conclusion
Michael Mathieson's inventive contributions significantly impact the landscape of search technologies and machine learning. His patents not only reflect his expertise but also the potential to revolutionize how users interact with search engines. As he continues to innovate, his work promises to inspire future advancements within the industry.