Bengaluru, India

Apurv Anand

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Apurv Anand: Innovator in Personalized Federated Search

Introduction

Apurv Anand is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of search technology, particularly in developing methods that enhance user experience through personalized search results. His innovative approach combines user preferences with advanced search algorithms to deliver tailored content.

Latest Patents

Apurv Anand holds a patent for a "Method of and system for conducting personalized federated search and presentation of results therefrom." This patent outlines a user-interface system that allows for the submission of search requests to multiple search engines. It emphasizes the importance of user context and preferences in generating relevant search results. The system involves sending query information and user context to at least two search engines, receiving search results, and presenting them in an ordered manner based on auxiliary information.

Career Highlights

Apurv Anand is currently employed at Adeia Guides Inc., where he continues to innovate in the realm of search technologies. His work focuses on enhancing the efficiency and relevance of search results, making it easier for users to find the information they need. His dedication to improving user experience has positioned him as a key player in his field.

Collaborations

Some of Apurv's notable coworkers include Rakesh Barve and Pankaj Garg. Their collaborative efforts contribute to the innovative projects at Adeia Guides Inc., fostering a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Apurv Anand's contributions to personalized federated search technology exemplify the impact of innovation in enhancing user experience. His patent and ongoing work at Adeia Guides Inc. highlight his commitment to advancing search methodologies.

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