US Patent Issued to GOOGLE on Jan. 28 for "Systems and methods for machine-learned prediction of semantic similarity between documents" (California Inventors)

ALEXANDRIA, Va., Jan. 29 -- United States Patent no. 12,210,837, issued on Jan. 28, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Systems and methods for machine-learned prediction of semantic similarity between documents" was invented by Liu Yang (Sunnyvale, Calif.), Marc Najork (Palo Alto, Calif.), Michael Bendersky (Cupertino, Calif.), Mingyang Zhang (San Jose, Calif.) and Cheng Li (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods of the present disclosure are directed to a method for predicting semantic similarity between documents. The method can include obtaining a first document and a second document. The method can include parsing the first document into...