US Patent Issued to INTUIT on Oct. 6 for "Machine learning based approach for automatically recommending personalized estimates of time needed to complete a task" (California Inventors)

ALEXANDRIA, Va., Oct. 6 -- United States Patent no. 12,756,765, issued on Oct. 6, was assigned to INTUIT INC. (Mountain View, Calif.).

"Machine learning based approach for automatically recommending personalized estimates of time needed to complete a task" was invented by Shankar Sankararaman (Burlingame, Calif.) and Apurva Swarnakar (San Diego).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for automatically recommending personalized estimates of amounts of time needed to complete a task include includes providing a plurality time-to-complete (TTC) models trained at different quantile levels to a machine learning model configured to select one TTC model of the plurality of TTC models as a selected T...