Sung-Bum Park

Title: Innovations of Sung-Bum Park

Introduction

Sung-Bum Park is an accomplished inventor based in Yongin-si, South Korea. He has made significant contributions to the field of search technology, holding a total of 2 patents. His work focuses on enhancing search results through innovative methods that integrate document and passage-level rankings.

Latest Patents

Sung-Bum Park's latest patents include an "Apparatus and method for optimized search results using document and passage-level integration." This method enhances search results by segmenting documents into smaller passages and utilizing those passages as the search unit. It integrates passage rankings from two search models to produce a new document ranking, ensuring that the search results consider the general relevance of the entire document. This leads to better performance compared to traditional document-level or passage-level searches.

Another notable patent is the "System and method for enhancing search precision with multi-level passage ranking." Similar to his previous work, this method also segments documents into smaller passages and integrates rankings from different search models. The final search ranking system combines both document-level and passage-level rankings, further improving the accuracy of search results.

Career Highlights

Throughout his career, Sung-Bum Park has worked with various organizations, including the Hoseo University Academic Cooperation Foundation and Livin Ai Inc. His experience in these institutions has allowed him to refine his skills and contribute to advancements in search technology.

Collaborations

Sung-Bum Park has collaborated with professionals in his field, including his coworker Suehyun Chang. These collaborations have fostered innovation and the development of new ideas in search technology.

Conclusion

Sung-Bum Park is a notable inventor whose work in search technology has led to significant advancements. His innovative methods for optimizing search results demonstrate his commitment to enhancing user experience in information retrieval.