Sunnyvale, CA, United States of America

Ryoichi Kato

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ryoichi Kato. Retrieved from https://idiyas.com/inventor/ryoichi-kato-y9fztrv3

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 = 9.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Ryoichi Kato: Innovator in Database Partition Relevance

Introduction

Ryoichi Kato is a notable inventor based in Sunnyvale, CA, who has made significant contributions to the field of search technology. He is recognized for his innovative approach to database partition relevance, which enhances the efficiency of search systems.

Latest Patents

Ryoichi Kato holds a patent titled "Per-query database partition relevance for search." This patent describes devices and techniques for predicting shard relevance based on individual search queries. The system evaluates the relevance of a search query to different database partitions, determining which data is most pertinent to the user's request.

Career Highlights

Kato is currently employed at Amazon Technologies, Inc., where he applies his expertise in search technology to improve user experience. His work focuses on optimizing search results through advanced database management techniques.

Collaborations

Throughout his career, Ryoichi Kato has collaborated with talented individuals such as Pengcheng Xiong and Bing Yin. These partnerships have contributed to the development of innovative solutions in the tech industry.

Conclusion

Ryoichi Kato's contributions to database partition relevance exemplify the impact of innovative thinking in technology. His work continues to influence the way search systems operate, enhancing the efficiency and accuracy of information retrieval.

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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