US Patent Issued to GOOGLE on June 30 for "Search system having task-based machined-learned models" (California Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,223, issued on June 30, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Search system having task-based machined-learned models" was invented by Lakshmi Kumar Dabbiru (Santa Clara, Calif.), Abhishek Shrivastava (San Jose, Calif.) and Hinali Naimish Marfatia (Milpitas, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A task-based search system is described. The computing system can receive, from a user device, a first user query associated with a task. The system can determine, using one or more machine-learned models, a first subtask having a first interaction score and a second subtask having a second user interaction score. Additionally,...