Menlo Park, CA, United States of America

Hao Zhou

USPTO Granted Patents = 1 

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: The Innovations of Hao Zhou

Introduction

Hao Zhou is an accomplished inventor based in Menlo Park, California. He is known for his innovative contributions to the field of personalized conversational recommendations through assistant systems. With a focus on enhancing user experience, his work has significant implications for the future of technology.

Latest Patents

Hao Zhou holds a patent for "Personalized conversational recommendations by assistant systems." This patent outlines a method that includes receiving a user request from a client system associated with a user. It involves generating a response to the user request that references one or more entities. Additionally, it describes generating a personalized recommendation based on the user request and the response, which references the entities of the response. The method concludes with sending instructions for presenting the response and the personalized recommendation to the client system.

Career Highlights

Hao Zhou is currently employed at Meta Platforms, Inc., where he continues to push the boundaries of technology. His work at Meta has allowed him to explore innovative solutions that enhance user interaction with digital assistants. His contributions are vital in shaping the future of conversational AI.

Collaborations

Hao Zhou collaborates with talented individuals such as Honglei Liu and Seungwhan Moon. Their combined expertise fosters an environment of creativity and innovation, leading to groundbreaking advancements in their field.

Conclusion

Hao Zhou's work exemplifies the spirit of innovation in technology. His patent on personalized conversational recommendations showcases his commitment to improving user experiences. As he continues to work at Meta Platforms, Inc., his contributions will undoubtedly influence the future of conversational systems.

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