New York, NY, United States of America

Srikanth Jagabathula


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2015-2016

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2 patents (USPTO):Explore Patents

Title: Innovations by Srikanth Jagabathula

Introduction

Srikanth Jagabathula is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of personalized recommendations and ranking systems. With a total of 2 patents, his work focuses on enhancing user experience through innovative technological solutions.

Latest Patents

Jagabathula's latest patents include a "System and method for providing personalized recommendations." This invention presents a system that identifies a preference distribution of a population, including a plurality of weighted ranked lists. It compares a user's revealed preference to these ranked lists and assigns an affinity weight between the user and each list, ultimately calculating a weighted average of these affinity weights.

Another notable patent is the "System and method for finding mood-dependent top selling/rated lists." This system determines a rank aggregation from a series of partial preferences. It learns a distribution over preferences from partial preferences with sparse support, receiving multiple partial preferences selected from two or more preference lists. Weights are assigned to these preferences, resulting in multiple ranked lists.

Career Highlights

Jagabathula is associated with the Massachusetts Institute of Technology, where he continues to push the boundaries of innovation. His work has garnered attention for its practical applications in various industries, particularly in enhancing user interaction with technology.

Collaborations

Some of his notable coworkers include Devavrat D Shah and Vivek Francis Farias. Their collaborative efforts contribute to the advancement of research and development in their respective fields.

Conclusion

Srikanth Jagabathula's contributions to the field of personalized recommendations and ranking systems highlight his innovative spirit and dedication to improving user experiences. His patents reflect a deep understanding of user preferences and technological advancements.

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