Company Filing History:
Years Active: 2011
Title: Mark Nicholas Law: Innovator in Behavioral Predictions
Introduction
Mark Nicholas Law is a notable inventor based in Gilroy, CA (US). He has made significant contributions to the field of technology, particularly in the area of behavioral predictions based on network activity. His innovative approach has led to the development of a unique patent that enhances the understanding of user interactions within network environments.
Latest Patents
Mark Nicholas Law holds a patent for a computer-implemented method titled "Behavioral predictions based on network activity locations." This patent involves constructing network activity profiles by obtaining records of network activities from an activity source. Each record corresponds to an interaction with a network resource and includes a network endpoint address and a time indication. The method determines geographical locations associated with these network endpoints and constructs profiles based on the collected data, revealing time-based behavior patterns linked to specific locations. This innovative approach has the potential to transform how organizations analyze user behavior.
Career Highlights
Mark is currently employed at Yahoo! Inc., where he applies his expertise in technology and innovation. His work focuses on developing methods that leverage network data to improve user experience and engagement. With a strong foundation in computer science and a passion for innovation, Mark has established himself as a key player in his field.
Collaborations
Throughout his career, Mark has collaborated with talented professionals, including Soren Riise and Devesh Patel. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Mark Nicholas Law is a distinguished inventor whose work in behavioral predictions has made a significant impact in the technology sector. His innovative patent and contributions at Yahoo! Inc. highlight his commitment to advancing the understanding of network activity and user behavior.