US Patent Issued to Maplebear on July 14 for "Method, non-transitory computer-readable medium, and system for inferring user brand sensitivity using a machine learning model" (California, New Jersey Inventors)

ALEXANDRIA, Va., July 14 -- United States Patent no. 12,682,385, issued on July 14, was assigned to Maplebear Inc. (San Francisco).

"Method, non-transitory computer-readable medium, and system for inferring user brand sensitivity using a machine learning model" was invented by Sharath Rao Karikurve (Berkeley, Calif.), Ramasubramanian Balasubramanian (Jersey City, N.J.) and Shrikar Archak (Newark, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online concierge system may receive, from a customer, a selection of an item that is associated with a first brand. The online concierge system may extract features associated with the customer and features associated with the item. The online concierge system...