Seongnam, South Korea

Do Eun Kim

This inventor holds 1 USPTO granted patent. Top assignee: Kakao Corporation. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Do Eun Kim: Innovator in Product Recommendation Technology

Introduction

Do Eun Kim is a notable inventor based in Seongnam, South Korea. He has made significant contributions to the field of product recommendation technology. His innovative approach aims to enhance user experience through personalized recommendations.

Latest Patents

Do Eun Kim holds a patent for a method, server, and user terminal for product recommendation. This method involves receiving a gift recommendation request from a first user terminal for a second user. It checks the available basic information of the second user and determines first recommendation information based on this data. The first recommendation information includes a first recommendation reason and at least one product related to that reason. Additionally, the method determines second recommendation information that is not based on the basic information, which also includes a second recommendation reason and related products. The recommendation information, comprising both first and second recommendations, is then provided to the first user terminal, with the first recommendation prioritized for display.

Career Highlights

Do Eun Kim is currently employed at Kakao Corporation, a leading technology company in South Korea. His work focuses on developing advanced algorithms for product recommendations, which are essential for enhancing customer engagement and satisfaction.

Collaborations

Do Eun Kim collaborates with talented coworkers, including Ji Hye Park and Min Seok Kim. Their combined expertise contributes to the innovative projects at Kakao Corporation.

Conclusion

Do Eun Kim's work in product recommendation technology exemplifies the impact of innovation in enhancing user experiences. His contributions are paving the way for more personalized and effective recommendation systems in the digital marketplace.

Profile summary based on public USPTO records.
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