Kiyoung Yang

Title: Inventor Spotlight: Kiyoung Yang from Sammamish, WA

Introduction

Kiyoung Yang is a notable inventor based in Sammamish, Washington, recognized for his contributions to machine learning and recommendation systems. He holds two patents, showcasing his innovative approach to tackling complex problems in data analysis and personalization.

Latest Patents

Kiyoung Yang's latest patents include groundbreaking methodologies that enhance automatic tasks and content recommendations. His first patent details a method for **Machine learning outlier detection using weighted histogram-based outlier scoring (W-HBOS)**. This invention facilitates outlier detection in datasets by utilizing a sophisticated process of extracting and filtering features through robust statistics, thereby improving the capability to identify anomalies for various automatic tasks.

The second patent focuses on **Personalization enhanced recommendation models**. This patent outlines a two-phase technique for generating content recommendations, starting with a baseline recommender that leverages models like the Smart Adaptive Recommendations (SAR) and collaborative filtering. The second phase incorporates a personalized recommender that combines user profiles and content vectors to create tailored recommendations based on actual user interactions.

Career Highlights

Kiyoung Yang is currently employed at Microsoft Technology Licensing LLC, where his expertise plays a pivotal role in advancing the company’s technological innovations. His work in machine learning not only enhances productivity but also improves the user experience across various platforms.

Collaborations

Throughout his career, Kiyoung has collaborated with esteemed colleagues, including Jayaram N M Nanduri and Yaxiong Cai. These collaborations have fostered an environment of shared knowledge and innovation, further contributing to the success of their projects.

Conclusion

Kiyoung Yang stands out as a leading inventor in the field of machine learning and recommendation systems. His patents reflect a deep understanding of complex data processes and a commitment to improving technology for broader applications. As he continues to innovate, his work will undoubtedly influence the future of automated tasks and personalized interactions within technology.