US Patent Issued to Intuit on Sept. 1 for "Machine learning model method and system for cross-domain recommendations" (Israeli Inventors)

ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,725,082, issued on Sept. 1, was assigned to Intuit Inc. (Mountain View, Calif.).

"Machine learning model method and system for cross-domain recommendations" was invented by Aleksandr Kim (Tel Aviv, Israel), Yair Horesh (Tel Aviv, Israel) and Itay Margolin (Tel Aviv, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method including receiving a domain vector including a first data structure describing a first domain with which a subject interacts. A multilabel classification model is applied to the domain vector to generate a classification prediction including a classification vector. The classification vector has a second data structure describin...