Los Angeles, CA, United States of America

Dongwei Cao

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)

Forward Citations (Not Self Cited) = 1(Sep 21, 2024)


Years Active: 2013

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Innovator Insight: Dongwei Cao and His Contributions to Machine Learning in Advertising

Introduction: Dongwei Cao is a prominent inventor based in Los Angeles, California, known for his contributions to the intersection of machine learning and online advertising. With one patent to his name, he has showcased his ability to develop innovative solutions that enhance the effectiveness of sponsored search mechanisms.

Latest Patents: Dongwei Cao's notable patent is titled "Estimating probabilities of events in sponsored search using adaptive models." This invention outlines a machine-learning method that significantly improves the estimation of click events in online advertising. By utilizing both global and local predictive models, the approach involves analyzing historical data to enhance click-through rate predictions. The global model operates on a comprehensive feature set, while local models are tailored to specific data slices, ultimately determining which model delivers more accurate probability estimates.

Career Highlights: Currently, Dongwei Cao is a key figure at Yahoo! Inc., a company renowned for its digital advertising solutions. His work focuses on leveraging data-driven methodologies to improve advertising efficiency. The innovative processes he has established are pivotal in adapting to the ever-evolving landscape of online marketing.

Collaborations: Throughout his career, Dongwei has collaborated with esteemed colleagues such as Ozgur Cetin and Rukmini Iyer. These professional relationships have allowed for the exchange of ideas and the implementation of multifaceted approaches to complex challenges in the technology and advertising sectors.

Conclusion: Dongwei Cao stands out as an influential inventor in the realm of machine learning for advertising. His patent demonstrates a forward-thinking approach to optimizing click event estimation, reflecting a significant contribution to the field. As the landscape of digital advertising continues to evolve, innovations like Cao's play a crucial role in shaping effective marketing strategies.

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