US Patent Issued to Maplebear on Aug. 25 for "Validation of item updates using machine learning to sample data" (Canadian, American Inventors)

ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,109, issued on Aug. 25, was assigned to Maplebear Inc. (San Francisco).

"Validation of item updates using machine learning to sample data" was invented by Syed Wasi Hasan Rizvi (Toronto) and Charles Wesley (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system validates item updates using a machine-learning model to identify item updates that need independent review. The online system maintains an item database that has item entries for items on the online system. The online system receives item updates from an item update system and applies an error prediction model to the item updates to generate an error likelihood score for e...