US Patent Issued to NAVER on Nov. 11 for "Methods and systems for transfer learning of deep learning model based on document similarity learning" (South Korean Inventors)

ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,469,322, issued on Nov. 11, was assigned to NAVER Corp. (Gyeonggi-Do, South Korea).

"Methods and systems for transfer learning of deep learning model based on document similarity learning" was invented by Sung Min Kim (Seongnam-si, South Korea), Kyoungho Choi (Seongnam-si, South Korea) and Kyuho Lee (Seongnam-si, South Korea).

According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed is a method and system for transfer learning of a deep learning model based on a document similarity learning. A transfer learning method may include pre-training, by the at least one processor, a similarity model to output a similarity between documents, generating, by the at...