Atlanta, GA, United States of America

Sayyed M Zahiri

USPTO Granted Patents = 3 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Sayyed M Zahiri: Innovator in Search Engine Technology

Introduction

Sayyed M Zahiri is a prominent inventor based in Atlanta, GA, known for his contributions to search engine technology. With a total of three patents to his name, Zahiri has made significant advancements in the way search results are generated and ranked. His innovative methods leverage machine learning to enhance user experience in search queries.

Latest Patents

Zahiri's latest patents include "User Click Modelling in Search Queries" and "Attentive Pseudo-Relevance Feedback Network for Query Categorization." The first patent outlines a method for ranking documents in search results by defining training data sets that incorporate user interactions with search results. This method trains machine learning models to improve the accuracy of document ranking based on user behavior. The second patent focuses on generating search results by applying an attention value to an initial set based on user queries, thereby refining the relevance of the results presented to users.

Career Highlights

Currently, Zahiri works at Home Depot Product Authority, LLC, where he continues to develop innovative solutions in search technology. His work has not only contributed to the efficiency of search engines but has also enhanced the overall user experience in navigating information online.

Collaborations

Zahiri collaborates with talented individuals such as Simon Hughes and Surya Kallumadi, who contribute to the innovative environment at Home Depot Product Authority, LLC. Their combined expertise fosters a culture of creativity and advancement in technology.

Conclusion

Sayyed M Zahiri's work in search engine technology exemplifies the impact of innovation on user experience. His patents reflect a deep understanding of machine learning and user behavior, positioning him as a key figure in the field.

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