SANTA CLARA, CA, United States of America

Thanh Dang


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Thanh Dang - Innovator in Deep Machine Learning

Introduction

Thanh Dang is a prominent inventor based in Santa Clara, California. He has made significant contributions to the field of deep machine learning, particularly in the area of content ranking systems. His innovative approach has the potential to enhance user experience by improving the relevance of content presented to users.

Latest Patents

Thanh Dang holds a patent for a "Deep Machine Learning Content Item Ranker." This invention discloses a system, method, and computer program product for ranking a plurality of content items for presentation to a user. The embodiment generates a ranking score for each content item by providing input to a deep machine learning model. This input includes various query features and content item features. The model determines the probabilities of different types of interactions between the user and the content item, ultimately calculating a ranking score based on these probabilities. The content items are then ranked for presentation according to their associated ranking scores.

Career Highlights

Thanh is currently employed at Roku, Inc., where he applies his expertise in machine learning to develop innovative solutions. His work focuses on enhancing content delivery and user engagement through advanced ranking algorithms. With a patent portfolio that includes 1 patent, he continues to push the boundaries of technology in his field.

Collaborations

Some of his notable coworkers include Kapil Kumar and Rahul Agarwal, who contribute to the collaborative environment at Roku, Inc. Their combined efforts foster innovation and drive the development of cutting-edge technologies.

Conclusion

Thanh Dang is a key figure in the realm of deep machine learning, with a focus on improving content ranking systems. His contributions are shaping the future of how users interact with digital content.

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