US Patent Issued to Gracenote on Aug. 25 for "Machine learning systems and methods for predicting end-user consumption of future multimedia transmissions" (California Inventors)

ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,720,136, issued on Aug. 25, was assigned to Gracenote Inc. (New York).

"Machine learning systems and methods for predicting end-user consumption of future multimedia transmissions" was invented by Scott John Sereday (Emeryville, Calif.), Cathy Zhuang (Emeryville, Calif.), Shufang Ban (Emeryville, Calif.) and Oana Monica Dan (Emeryville, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems for prediction audience ratings are disclosed. A database of television (TV) viewing data may include program records for a multiplicity of existing TV programs. A system may receive a training plurality of program records from the TV viewing data,...