US Patent Issued to Maplebear on Sept. 23 for "Incrementally updating embeddings for use in a machine learning model by accounting for effects of the updated embeddings on the machine learning model" (California, New Jersey Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,722, issued on Sept. 23, was assigned to Maplebear Inc. (San Francisco).

"Incrementally updating embeddings for use in a machine learning model by accounting for effects of the updated embeddings on the machine learning model" was invented by Chuanwei Ruan (Sunnyvale, Calif.), Ramasubramanian Balasubramanian (Jersey City, N.J.) and Peng Qi (Menlo Park, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online concierge system uses a model to predict a user's interaction with an item, based on a user embedding for the user and an item embedding for the item. For the model to account for more recent interactions by users with items without retr...