San Jose, CA, United States of America

Jongmin Baek

This inventor holds 32 USPTO granted patents and 7 published patent applications, primarily in Digital Content Management. Top assignees: Dropbox, Inc., Other. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jongmin Baek. Retrieved from https://idiyas.com/inventor/jongmin-baek-g6b71nqm

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

Calculating rank
USPTO Granted Patents = 32 

% Patents Active = 96.9

Average Co-Inventor Count = 2.7

ph-index = 3

Forward Citations = 28(Granted Patents)


Location History:

  • Saratoga, CA (US) (2018 - 2022)
  • San Jose, CA (US) (2017 - 2024)
  • Foster City, CA (US) (2022 - 2024)
  • Millbrae, CA (US) (2024)

Company Filing History:


Years Active: 2017-2026

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Areas of Expertise:
Digital Content Classification
Machine Learning Models
Live Document Detection
Neural Network Compression
Content Item Embeddings
Data Storage Schemes
Collaborative Content Generation
Natural Language Processing
Content Collection Suggestions
Graph Frameworks
Score Normalization
Image Enhancement
32 patents (USPTO):Explore Patents

Title: **Jongmin Baek: Innovator in Content Management Technologies**

Introduction

Jongmin Baek, based in San Jose, CA, is a prolific inventor with an impressive portfolio of 26 patents to his name. His contributions primarily focus on machine learning techniques that enhance content management systems, making significant strides in personalized content suggestions for end-users.

Latest Patents

Among Jongmin's latest innovations are two notable patents. The first patent, titled "Cross-model score normalization," introduces computer-implemented techniques that utilize distinct machine learning sub-models to score various types of candidate content. This process aims to provide accurate personalized content suggestions to users of content management systems. The method involves mapping relevancy scores generated by the sub-models to expected end-user interaction scores, ensuring that the content suggestions are both relevant and tailored to the user's preferences.

The second patent, "Content type embeddings," describes innovative techniques for learning and utilizing content type embeddings. These embeddings enable a quantifiable measure of semantic similarity between different content types, allowing for improved content suggestions based on the learned embeddings. The semantic proximity in the embedding space aids in refining the content management experience for users.

Career Highlights

Jongmin Baek has garnered significant experience working with reputable companies, including Dropbox, Inc. His expertise in machine learning and content management has positioned him at the forefront of developing cutting-edge technologies that facilitate enhanced user engagement with content.

Collaborations

Throughout his career, Jongmin has collaborated with esteemed professionals, including Nils Peter Welinder and Peter Neil Belhumeur. These collaborations have not only enriched his work but also contributed to the advancement of methodologies underpinning content personalization and management.

Conclusion

Jongmin Baek's innovative contributions to machine learning and content management continue to shape how users interact with digital content. With an extensive array of patents and notable collaborations, he remains a prominent figure in the field, pushing the boundaries of technology and personalization in user 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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