Tokyo, Japan

Akira Ioku


 

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2008-2025

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8 patents (USPTO):Explore Patents

Title: Akira Ioku: Innovator in Related Expression Extraction Technology

Introduction

Akira Ioku is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of technology, particularly in the area of related expression extraction. With a total of 8 patents to his name, Ioku's work has advanced the way we interact with text data and improve search query accuracy.

Latest Patents

Ioku's latest patents include a "Related Expression Extraction Device and Related Expression Extraction Method." This invention enables the accurate extraction of related expressions based on specific situations, enhancing the relevance of search queries and question sentences. The device processes input text data, categorizes it, and determines its structural patterns. Based on these analyses, it selects appropriate comparative assessment models to extract relevant expression group data. Another notable patent is the "Coaching System and Coaching Method," which focuses on document creation. This system estimates the increase or decrease of information in a writer's answers and selects subsequent questions based on past responses.

Career Highlights

Throughout his career, Akira Ioku has worked with notable companies such as Hitachi, Ltd. and Hitachi Software Engineering Company, Ltd. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology.

Collaborations

Ioku has collaborated with several talented individuals, including Koji Doi and Jun Maeoka. Their combined expertise has fostered a creative environment that has led to the development of groundbreaking technologies.

Conclusion

Akira Ioku's contributions to related expression extraction technology have made a significant impact in the field. His innovative patents and collaborative efforts continue to shape the future of text data processing and search accuracy.

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