Company Filing History:
Years Active: 2022-2023
Title: Hunter North: Innovator in Machine Learning and Audience Segmentation
Introduction
Hunter North is a prominent inventor based in Seattle, WA (US). He has made significant contributions to the field of machine learning, particularly in the area of audience segmentation. With a total of 2 patents, Hunter is recognized for his innovative approaches to creating target audiences with enhanced accuracy and reach.
Latest Patents
Hunter's latest patents focus on utilizing machine-learning models to create target audiences with customized auto-tunable reach and accuracy. These disclosures describe implementations of a model segmentation system that generates accurate audience segments for client devices and individuals. The system employs multi-class decision tree machine-learning models to achieve its objectives. For instance, it generates a customized loss penalty matrix from multiple loss penalty matrices. This process involves creating regression mappings of model evaluation metrics for various decision tree models. By combining loss penalty matrices based on these regression mappings, the system produces a customized loss penalty matrix that aligns with an administrator's specific needs for segment accuracy and reach. The model segmentation system then utilizes this customized matrix to train a multi-class decision tree machine-learning model, classifying client devices into distinct audience segments. Additionally, the system refines the model by adjusting the tree depth to enhance performance.
Career Highlights
Hunter North is currently employed at Adobe, Inc., where he continues to innovate and develop cutting-edge solutions in machine learning. His work has garnered attention for its practical applications in marketing and audience targeting.
Collaborations
Hunter collaborates with Lei Liu, a fellow innovator at Adobe, Inc. Together, they work on advancing the capabilities of machine learning in audience segmentation.
Conclusion
Hunter North is a key figure in the realm of machine learning and audience segmentation, with a focus on creating tailored solutions that meet the evolving needs of businesses. His contributions are shaping the future of targeted marketing strategies.