Palo Alto, CA, United States of America

Milind Rao

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022-2024

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2 patents (USPTO):Explore Patents

Title: Milind Rao: Innovator in Query to Ad Matching Technologies

Introduction

Milind Rao is a notable inventor based in Palo Alto, CA (US). He has made significant contributions to the field of advertising technology, particularly in the area of query to ad matching. With a total of 2 patents, his work focuses on utilizing deep neural networks to enhance the efficiency and accuracy of ad matching systems.

Latest Patents

Milind Rao's latest patents include innovative systems and methods for query to ad matching. The first patent, titled "System and method for query to ad matching using deep neural net based query embedding," describes a model that identifies content matching a query. This involves receiving training data that includes queries, advertisements, and hyperlinks. The process identifies subwords from each query and derives vectors for these subwords using a neural network. The model is optimized based on an objective function, enhancing the matching process.

The second patent, "System and method for query to ad matching via optimizing input vectors of query subwords," also focuses on improving ad matching. It involves obtaining a model that identifies content matching a query by deriving input vectors for subwords and optimizing these vectors in relation to advertisements and links. This innovative approach aims to refine the ad matching process further.

Career Highlights

Throughout his career, Milind Rao has worked with prominent companies in the tech industry. He has been associated with Yahoo Ad Tech LLC and Verizon Media Inc., where he contributed to the development of advanced advertising technologies. His expertise in neural networks and ad matching has positioned him as a valuable asset in these organizations.

Collaborations

Milind Rao has collaborated with talented professionals in the field, including Erik Ordentlich and Jun Shi. These collaborations have likely fostered innovative ideas and advancements in advertising technology.

Conclusion

Milind Rao's contributions to query to ad matching technologies demonstrate his commitment to innovation in the advertising sector. His patents reflect a deep understanding of neural networks and their application in enhancing ad matching efficiency. As he continues to develop new technologies, his work will undoubtedly influence the future of advertising.

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