Mountain View, CA, United States of America

Daniel Li


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Mind of Daniel Li: Patents and Collaborations

Introduction

Daniel Li, an inventive mind residing in Mountain View, California, holds two notable patents that showcase his expertise in real-time processing and ad targeting. As a key contributor at Google Inc., he stands out in the field of technology and innovation.

Latest Patents

Among his latest patents, the first focuses on **Granular cluster generation for real-time processing**. This patented system allows for the identification of tokens by aggregating input from various computing devices over specific time intervals. It adeptly identifies a subset of these tokens for cluster generation, subsequently creating token clusters with two or more tokens. The process incorporates a de-duplication technique to enhance accuracy and a filtering method to eliminate tokens erroneously categorized in clusters. Each cluster is then assigned a label through a selection process, enabling real-time content selection based on remaining tokens within the clusters.

His second patent, **Machine learning-based automatic audience segment in ad targeting**, mirrors similar principles as the first. It highlights the importance of token aggregation and emphasizes real-time capabilities. The system once again focuses on effective token clustering and filtering, ultimately leading to improved strategies for content selection and audience engagement.

Career Highlights

Daniel Li's career at Google Inc. is marked by his innovative contributions in machine learning and real-time processing. His expertise in developing systems that harness the power of data aggregation for enhanced user experiences sets him apart in the tech industry. With a solid foundation in machine learning, he constantly pushes the boundaries of what's achievable in the realm of technology.

Collaborations

Working alongside talented colleagues such as Xuerui Wang and Xiaodan Song, Daniel has fostered an environment of collaboration that promotes innovation and skill development. Together, they contribute to ongoing projects that further enhance ad targeting strategies and real-time processing systems.

Conclusion

Daniel Li is a prominent figure in the world of technology, continually innovating through his insightful patents and collaborations. His work at Google Inc. not only advances the field of real-time processing but also illustrates the transformative potential of machine learning in modern advertising. As he continues to develop groundbreaking solutions, the tech community eagerly anticipates his future contributions.

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