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For the Inventor, By the Inventor

SAN JOSE, CA, United States of America

Pulkit Aggarwal

This inventor holds 11 USPTO granted patents and 14 published patent applications. Top assignee: Roku, Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pulkit Aggarwal. Retrieved from https://idiyas.com/inventor/pulkit-aggarwal-mqhljl0l

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 11 

% Patents Active = 90.9

Average Co-Inventor Count = 7.5

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:

goldMedal11 out of 863 
 
Roku, Inc.
 patents

Years Active: 2024-2026

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11 patents (USPTO):Explore Patents
1. 12755532 - Deep video understanding with large language models (2026-10-06),
2. 12750559 - Asset quality management using multimodality (2026-09-29),
3. 12647631 - Demographic predictions for content items (2026-06-02),
4. 12610107 - Recommendation system forward simulator (2026-04-21),
5. 12563248 - Reducing active user bias for content recommendation models (2026-02-24),
6. 12549813 - Media content item recommendations based on predicted user interaction embeddings (2026-02-10),
7. 12475706 - Generating short-form content from full-length media using a machine learning model (2025-11-18),
8. 12389055 - Interest based recommendation system (2025-08-12),
9. 12190864 - Interest-based conversational recommendation system (2025-01-07),
10. 12155878 - Demographic predictions for content items (2024-11-26),
11. 12126874 - Content acquisition system (2024-10-22),

Title: Innovations of Pulkit Aggarwal

Introduction

Pulkit Aggarwal is an accomplished inventor based in San Jose, California. He has made significant contributions to the field of recommendation systems, holding a total of four patents. His work focuses on enhancing user experience through innovative technology.

Latest Patents

Pulkit's latest patents include an "Interest Based Recommendation System." This system allows a community of users to access a set of content items based on their interests. It generates a popularity score for each content item and creates recommendation candidates based on these scores. Another notable patent is the "Interest-Based Conversational Recommendation System." This system utilizes a probabilistic pseudo-user neural network model to train a conversational recommendation system, enabling real-time recommendations with minimal user interaction.

Career Highlights

Pulkit Aggarwal is currently employed at Roku, Inc., where he continues to develop cutting-edge technologies in the realm of recommendation systems. His innovative approach has positioned him as a key player in the industry.

Collaborations

Pulkit has collaborated with talented coworkers, including Fei Xiao and Rohit Mahto, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Pulkit Aggarwal's contributions to the field of recommendation systems demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of user needs and the potential for enhancing digital experiences.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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