Sunnyvale, CA, United States of America

Mohammad Hossein Taghavi


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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3 patents (USPTO):Explore Patents

Title: Innovations of Mohammad Hossein Taghavi

Introduction

Mohammad Hossein Taghavi is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of machine learning, particularly in the context of online and offline applications. With a total of 3 patents, his work continues to influence the industry.

Latest Patents

One of his latest patents focuses on feature generation for online and offline machine learning. This innovative system utilizes models derived from offline historical data for online applications. It includes a processor and memory that store machine-readable instructions for determining a set of contexts of usage data. For each context, the system collects service data from services supporting media and stores it in a database. The system performs an offline testing process by fetching service data for a defined context, generating a first set of feature vectors based on the fetched data, and providing this set to a machine-learning module. Additionally, it conducts an online testing process by fetching active service data, generating a second set of feature vectors, and supplying this set to the machine-learning module.

Career Highlights

Mohammad currently works at Netflix Inc., where he applies his expertise in machine learning to enhance user experiences. His innovative approaches have positioned him as a key player in the development of advanced technologies within the company.

Collaborations

Some of his notable coworkers include Prasanna Padmanabhan and Dong-Bang Tsai, who collaborate with him on various projects at Netflix.

Conclusion

Mohammad Hossein Taghavi's contributions to machine learning and his innovative patents demonstrate his commitment to advancing technology. His work continues to shape the future of online applications and machine learning systems.

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