Shih-Chieh Su

Title: Innovations by Shih-Chieh Su

Introduction

Shih-Chieh Su is an accomplished inventor based in Redmond, WA (US). He is known for his contributions to the field of content recommendation systems. His innovative work has led to the development of a patent that enhances personalization in recommendation models.

Latest Patents

Shih-Chieh Su holds a patent titled "Personalization Enhanced Recommendation Models." This patent describes methods, systems, apparatuses, and computer program products for a two-phase technique for generating content recommendations. In the first phase, a baseline recommender generates a baseline content recommendation using various content recommendation models, including Smart Adaptive Recommendations (SAR), Factorization Machine (FM), Matrix Factorization (MF), collaborative filtering models, and other machine-learning techniques. The second phase involves a personalized recommender that combines profile vectors, content vectors, and baseline content recommendations to create combined user vectors. A model generator then trains a machine-learning model using these combined user vectors and actual user interaction behavior to identify content recommendations for specific users.

Career Highlights

Shih-Chieh Su is currently employed at Microsoft Technology Licensing, LLC. His work at Microsoft has allowed him to explore and innovate in the realm of machine learning and recommendation systems. His contributions have significantly impacted how content is personalized for users.

Collaborations

Shih-Chieh Su has collaborated with notable colleagues, including Yaxiong Cai and Xiaoguang Qi. Their teamwork has fostered advancements in the technologies they work on.

Conclusion

Shih-Chieh Su's innovative work in personalization enhanced recommendation models showcases his expertise and commitment to advancing technology. His contributions continue to shape the future of content recommendations.