US Patent Issued to Oracle International on April 1 for "Machine learning for similarity scores between different document schemas" (Czech, Romanian Inventors)

ALEXANDRIA, Va., April 2 -- United States Patent no. 12,265,561, issued on April 1, was assigned to Oracle International Corp. (Redwood Shores, Calif.).

"Machine learning for similarity scores between different document schemas" was invented by Liviu-Sebastian Matei (Bucharest, Romania) and Filip Trojan (Beron, Czech Republic).

According to the abstract* released by the U.S. Patent & Trademark Office: "A document repository may be searched for documents that are similar to a source document. Multiple queries may be generated based on a type of the source document, and the results may be combined in a unified response. User behavior may then be monitored, and implicit and explicit feedback may be gathered to evaluate the performance of the...