Washington, DC, United States of America

Andrew McMahon


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2017-2018

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2 patents (USPTO):Explore Patents

Title: Andrew McMahon: Innovator in Data Partitioning and Query Prediction

Introduction

Andrew McMahon is a notable inventor based in Washington, DC, who has made significant contributions to the fields of data management and information retrieval. With a total of 2 patents, he has developed innovative systems that enhance the efficiency of data processing and user interaction.

Latest Patents

One of Andrew's latest patents is titled "Computerized systems and methods for partitioning data for information retrieval." This invention discloses methods for partitioning data into multiple segments within a database, optimizing the retrieval process. The system determines a perceived load for various substrings, orders them, and assigns data to partitions based on a calculated score that combines load variance and entropy weight.

Another significant patent is "Computerized systems and methods for identifying points-of-interest using customized query prediction." This invention focuses on analyzing partial queries received from clients to predict full queries and identify relevant points-of-interest. The system enhances user experience by transmitting data about identified points-of-interest even before the full query is received.

Career Highlights

Andrew McMahon is currently employed at MapQuest, Inc., where he applies his expertise in developing advanced data management solutions. His work has been instrumental in improving the functionality and user experience of the company's services.

Collaborations

Throughout his career, Andrew has collaborated with talented individuals such as Darren A Spehr and Miria Grunick. These collaborations have contributed to the successful development of his innovative patents.

Conclusion

Andrew McMahon's contributions to data partitioning and query prediction demonstrate his commitment to advancing technology in information retrieval. His work continues to influence the way data is managed and accessed in modern applications.

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