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For the Inventor, By the Inventor

San Francisco, CA, United States of America

Thomas Price

LinkedIn
USPTO Granted Patents = 44 

 

Average Co-Inventor Count = 2.0

ph-index = 5

Forward Citations = 79(Granted Patents)


Location History:

  • Norman, OK (US) (1994)
  • Checotah, OK (US) (2005)
  • Mountain View, CA (US) (2020 - 2021)
  • San Fancisco, CA (US) (2023)
  • San Francisco, CA (US) (2015 - 2024)

Company Filing History:

goldMedal42 out of 32,572 
 
Google Inc.
 patents
silverMedal2 out of 832,912 
Other
 patents

Years Active: 1994-2025

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Areas of Expertise:
Machine Learning
Streaming Applications
Content Quality Control
Latency Reduction
Dynamic Content Loading
Wireless Communication Protocols
Interactive Streaming Media
User Preference Modeling
Store Visit Data Management
Authentication Systems
Audio Mesh Networks
Content Verification
44 patents (USPTO):Explore Patents
1. 12242531 - Publisher tool for controlling sponsored content quality across mediation platforms (2025-03-04),
2. 12073292 - Assessing accuracy of a machine learning model (2024-08-27),
3. 12034989 - Using machine learning and other models to determine a user preference to cancel a stream or download (2024-07-09),
4. 11727050 - Publisher tool for controlling sponsored content quality across mediation platforms (2023-08-15),
5. 11640822 - Dynamic sequence-based adjustment of prompt generation (2023-05-02),
6. 11570498 - Using machine learning and other models to determine a user preference to cancel a stream or download (2023-01-31),
7. 11550638 - Reducing latency in downloading electronic resources using multiple threads (2023-01-10),
8. 11477103 - Systems and methods for latency reduction in content item interactions using client-generated click identifiers (2022-10-18),
9. 11463498 - Persisting state of a streaming application (2022-10-04),
10. 11397958 - Store visit data creation and management (2022-07-26),
11. 11283851 - Persisting state of a streaming application (2022-03-22),
12. 11115695 - Using machine learning and other models to determine a user preference to cancel a stream or download (2021-09-07),
13. 11095723 - Maintaining session identifiers across multiple webpages for content selection (2021-08-17),
14. 11074609 - Systems and method for improving mediated sponsored content networks using a stack trace (2021-07-27),
15. 11068290 - Systems and methods for providing interactive streaming media (2021-07-20),

Title: The Innovative Contributions of Thomas Price in Machine Learning

Introduction

Thomas Price is a prominent inventor based in San Francisco, CA, with an impressive portfolio that includes 41 patents. He is recognized for his groundbreaking work in the field of machine learning and its application to content distribution and user preferences. His efforts have significantly enhanced the way digital media is managed and consumed.

Latest Patents

Thomas Price's latest patents showcase his inventive spirit and dedication to advancing technology. One of his recent innovations involves assessing the accuracy of machine learning models. The patent outlines a method where a server balances content distribution between a machine learning model and a statistical model. By assigning request proportions to each group, the server can select content variations effectively, leading to improved performance based on acceptance rates for different variations. This approach helps in dynamically adjusting the audience share based on performance metrics.

Another notable patent focuses on using machine learning to determine user preferences regarding media transmissions. The invention involves generating training data that captures contextual information from user devices, enabling the model to identify preferences concerning canceling media streams. This innovative approach ensures a personalized experience for users, enhancing their overall interaction with media services.

Career Highlights

Throughout his career, Thomas Price has made significant contributions to the field of technology, particularly while working at Google Inc. His expertise in machine learning has positioned him as a key figure in developing innovative approaches that improve content delivery systems. His 41 patents reflect a commitment to driving the industry forward and showcasing the potential of machine learning applications.

Collaborations

Thomas has collaborated with several talented individuals, including Tuna Toksoz and Justin Lewis. Their joint efforts have led to advancements in technology that are shaping the future of content distribution and user experience. These collaborations underline the importance of teamwork in achieving groundbreaking innovations.

Conclusion

Thomas Price's work exemplifies the spirit of innovation that drives progress in technology. His contributions to the field of machine learning, particularly in balancing content selection between statistical models and machine learning models, have set new standards in the industry. With a string of patents to his name and meaningful collaborations with other innovators, Thomas continues to push the boundaries of what is possible in the realm of digital media and beyond.

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