ALEXANDRIA, Va., Aug. 5 -- United States Patent no. 12,701,048, issued on Aug. 4, was assigned to Maplebear Inc. (San Francisco).

"Using long-term features and short-term features to filter content before a selection process to reduce latency of a content distribution system" was invented by Aakarsh Madhavan (Toronto), Cheng Jia (San Jose, Calif.), Karuna Ahuja (San Francisco) and Shrikar Archak (Danville, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Using long-term features and short-term features to reduce latency in providing recommendations is described. A user device in a session with an online system may request a recommendation. The online system identifies a set of recommendations based in p...