Tokyo, Japan

Masato Mita

This inventor holds 1 USPTO granted patent. Top assignee: Rakuten Group, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Masato Mita. Retrieved from https://idiyas.com/inventor/masato-mita

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Masato Mita in Document Classification Technology

Introduction

Masato Mita is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of document classification technology. His innovative work has led to the development of a unique patent that enhances the efficiency of document categorization.

Latest Patents

Masato Mita holds a patent for a document classification device, method, and program. This invention involves a computer system that includes a generation unit and an update unit. The generation unit performs first machine learning on a target document, generating a classification model that indicates the correct path to a leaf node in a tree structure. The update unit applies second machine learning to improve the classification model when the correct path is not provided, ensuring that the model is continuously refined and updated.

Career Highlights

Masato Mita is currently employed at Rakuten Group, Inc., where he applies his expertise in machine learning and document classification. His work at Rakuten has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

One of his notable coworkers is Koji Murakami. Their collaboration has likely fostered innovative ideas and advancements in their respective projects.

Conclusion

Masato Mita's work in document classification technology exemplifies the impact of innovative thinking in the tech industry. His patent reflects a commitment to improving machine learning applications, which can significantly benefit various sectors.

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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