US Patent Issued to Maplebear on July 28 for "Generating user-specific incentives based on previous activity using machine-learned large language models (LLMS)" (New York, New Jersey Inventors)

ALEXANDRIA, Va., July 28 -- United States Patent no. 12,694,424, issued on July 28, was assigned to Maplebear Inc. (San Francisco).

"Generating user-specific incentives based on previous activity using machine-learned large language models (LLMS)" was invented by Changyao Chen (New York) and Jacob Jensen (Metuchen, N.J.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system accesses user behavior data and incentive data collected for a user prior to a current time period. The online system trains a behavior prediction model to receive user behavior data for a user and an incentive and output an incentive score using the collected user behavior data. The online system receives one or more candidate i...