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For the Inventor, By the Inventor

Saratoga, CA, United States of America

Rohan Ramanath

USPTO Granted Patents = 10 

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:

goldMedal10 out of 54,638 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2019-2025

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10 patents (USPTO):
1. 12223554 - Recommendations using session relevance and incremental learning (2025-02-11),
2. 11386365 - Efficient percentile estimation for applicant rankings (2022-07-12),
3. 11372940 - Embedding user categories using graphs for enhancing searches based on similarities (2022-06-28),
4. 11106979 - Unsupervised learning of entity representations using graphs (2021-08-31),
5. 11048876 - Phrase extraction for optimizing digital page (2021-06-29),
6. 10885275 - Phrase placement for optimizing digital page (2021-01-05),
7. 10809892 - User interface for optimizing digital page (2020-10-20),
8. 10795897 - Techniques for querying user profiles using neural networks (2020-10-06),
9. 10409651 - Incremental workflow execution (2019-09-10),
10. 10346304 - Cache management for multi-node databases (2019-07-09),

Title: Rohan Ramanath: Innovator in Recommendation Systems

Introduction

Rohan Ramanath is a prominent inventor based in Saratoga, California. He has made significant contributions to the field of technology, particularly in the area of recommendation systems. With a total of 10 patents to his name, Rohan has demonstrated his expertise and innovative thinking in various applications.

Latest Patents

Rohan's latest patents include "Recommendations using session relevance and incremental learning." This invention involves a computer system that generates recommendations for users of online services based on their recent actions. The system classifies user intents and preferences to enhance the accuracy of recommendations. Another notable patent is "Efficient percentile estimation for applicant rankings." This system processes queries for ranking candidates by estimating their positions based on quantile thresholds derived from score distributions.

Career Highlights

Rohan Ramanath is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions. His work focuses on improving user experiences through advanced recommendation algorithms and ranking systems.

Collaborations

Rohan collaborates with talented individuals such as Jeffrey Gee and Deepak Kumar, contributing to a dynamic and innovative work environment.

Conclusion

Rohan Ramanath is a distinguished inventor whose work in recommendation systems has the potential to transform user interactions with technology. His contributions reflect a commitment to innovation and excellence in the field.

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