US Patent Issued to Maplebear on Sept. 16 for "Machine-learned neural network architectures for incremental lift predictions" (California, New Jersey Inventors)

ALEXANDRIA, Va., Sept. 17 -- United States Patent no. 12,417,376, issued on Sept. 16, was assigned to Maplebear Inc. (San Francisco).

"Machine-learned neural network architectures for incremental lift predictions" was invented by Zhenbang Chen (Jersey City, N.J.), Jingying Zhou (San Francisco) and Peng Qi (Menlo Park, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system trains a machine-learned lift prediction model configured as a neural network. The machine-learned lift prediction model can be used during the inference process to determine lift predictions for users and items associated with the online system. By configuring the lift prediction model as a neural network, the lift predicti...