Company Filing History:
Years Active: 2015
Title: **Innovator Spotlight: Ralesh Parekh and His Patent on Adaptive Targeting**
Introduction
Ralesh Parekh, a remarkable inventor based in San Jose, California, has made significant strides in the field of internet advertising. With his innovative approach to targeting look-alike users, he holds a patent that exemplifies the intersection of technology and user engagement.
Latest Patents
Ralesh's sole patent focuses on "Adaptive Targeting for Finding Look-Alike Users." This method revolutionizes the way internet advertisements are displayed by leveraging a desired user profile dataset as a seed for machine learning modules. The process begins by mapping a desired user profile to other similar users from a larger database. By normalizing both the desired and known user profiles, he implements a machine learning training model that enhances the accuracy of identifying look-alike users. Advertisements are then served to these identified users, allowing for a dynamic analysis of their behavior. This ongoing adaptation to user behavior proves pivotal in the ever-changing landscape of digital marketing.
Career Highlights
Ralesh Parekh works at Yahoo! Inc., a renowned company that has continuously pushed the boundaries of technology and communication. His contributions in the realm of advertising technology illustrate his expertise and commitment to innovation.
Collaborations
During his career, Ralesh has collaborated with accomplished coworkers, including Abraham Hossain Bagherjeiran and Renjie Tang. This collaborative environment fosters creativity and allows for the exchange of groundbreaking ideas among talented professionals.
Conclusion
Ralesh Parekh's inventive spirit and contributions to the field of adaptive targeting in internet advertising highlight the importance of innovation in technology. His work not only enhances user engagement but also sets new standards for advertising effectiveness in the digital age.