Shikohabad, India

Varnit Agnihotri


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2018

where 'Filed Patents' based on already Granted Patents

2 patents (USPTO):

Title: Varnit Agnihotri: Innovator in Data Mining Systems

Introduction

Varnit Agnihotri is a notable inventor based in Shikohabad, India. He has made significant contributions to the field of data mining, particularly through his innovative systems that enhance user interactions with items based on underlying personas. With a total of 2 patents, Agnihotri's work is paving the way for more personalized user experiences in technology.

Latest Patents

Agnihotri's latest patents include a "Persona Based Data Mining System" and a "Probabilistic Matrix Factorization System Based on Personas." The Persona Based Data Mining System focuses on associating users with items by utilizing underlying personas. This system predicts an active persona for a user based on their recent interactions, allowing for tailored item recommendations. The Probabilistic Matrix Factorization System also emphasizes user-to-item associations based on personas, enhancing the accuracy of recommendations by modeling these associations through probabilistic methods.

Career Highlights

Varnit Agnihotri is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in data mining. His work is instrumental in improving how users interact with technology and receive recommendations based on their unique preferences.

Collaborations

Agnihotri has collaborated with notable colleagues such as Rajeev Ramnarain Rastogi and Rushi P Bhatt. These collaborations have further enriched his work and contributed to advancements in the field of data mining.

Conclusion

Varnit Agnihotri's contributions to data mining systems reflect his commitment to innovation and user-centric technology. His patents are a testament to his expertise and vision in creating systems that enhance user experiences.

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