US Patent Issued to Adobe on Sept. 23 for "Utilizing machine learning models to process low-results web queries and generate web item deficiency predictions and corresponding user interfaces" (Texas, California Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,371, issued on Sept. 23, was assigned to Adobe Inc. (San Jose, Calif.).

"Utilizing machine learning models to process low-results web queries and generate web item deficiency predictions and corresponding user interfaces" was invented by Irgelkha Mejia (Austin, Texas), Michele Saad (Austin, Texas), Eunyee Koh (San Jose, Calif.), Andrew Thomson (Moraga, Calif.), Lauren Dest (Austin, Texas), Dustin Ground (Austin, Texas), Anna Hammond (Austin, Texas), Arjun Athreya (Austin, Texas) and Catherine Chiodo (Austin, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and non-transitory computer readable media are disclosed for utilizing ...