This inventor holds 1 USPTO granted patent. Top assignee: Yonsei University. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Jeong Whan Choi
Introduction
Jeong Whan Choi is a notable inventor based in Seoul, South Korea. He has made significant contributions to the field of collaborative filtering through his innovative patent. His work is recognized for its potential applications in various recommendation systems.
Latest Patents
Jeong Whan Choi holds a patent titled "Apparatus and method for recommending collaborative filtering based on learnable-time ordinary differential equation." This patent describes a collaborative filtering recommending apparatus that includes an initial-embedding generation module. This module is designed to generate first and second initial embeddings. Additionally, it features a dual co-evolving ordinary differential equation module that comprises first and second ordinary differential equation processing members. These members repeat a process of receiving first and second previous embeddings and outputting first and second subsequent embeddings through mutual influence as learning time elapses. The final-embedding generation module is responsible for generating a first final embedding by cumulative summing the first previous and subsequent embeddings, and a second final embedding by cumulative summing the second previous and subsequent embeddings.
Career Highlights
Jeong Whan Choi is affiliated with Yonsei University, where he continues to contribute to research and innovation in his field. His work has garnered attention for its technical depth and practical implications.
Collaborations
He collaborates with colleagues such as No Seong Park and Jin Sung Jeon, who share his commitment to advancing technology and research.
Conclusion
Jeong Whan Choi's innovative work in collaborative filtering exemplifies the impact of research and invention in technology. His contributions are paving the way for future advancements in recommendation systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
