US Patent Issued to GOOGLE on Aug. 25 for "Systems and methods for using document activity logs to train machine-learned models for determining document relevance" (Dutch, American Inventors)

ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,022, issued on Aug. 25, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Systems and methods for using document activity logs to train machine-learned models for determining document relevance" was invented by Weize Kong (Mountain View, Calif.), Michael Bendersky (Cupertino, Calif.), Marc Najork (Palo Alto, Calif.), Rama Kumar Pasumarthi (Mountain View, Calif.), Zhen Qin (Mountain View, Calif.) and Rolf Jagerman (Diemen, Netherlands).

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 training a machine-learned semantic matching model. The method can include obtaining a first a...