US Patent Issued to Promoted.ai on May 20 for "Within-context semantic relevance inference of machine learning model generated output" (California Inventor)

ALEXANDRIA, Va., June 16 -- United States Patent no. 12,306,842, issued on May 20, was assigned to Promoted.ai Inc. (San Francisco).

"Within-context semantic relevance inference of machine learning model generated output" was invented by Andrew Donald Yates (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems provide content searching and retrieval using generative artificial intelligence (AI) Models. The system is configured to receive a user search for content, media or item listings. The system receives a natural language-based input associated with a client device of a user. The system generates a search criterion for the received natural language-based input. The system, via...