US Patent Issued to Pinterest on July 8 for "Identifying content items in response to a text-based request" (California Inventors)

ALEXANDRIA, Va., July 9 -- United States Patent no. 12,353,471, issued on July 8, was assigned to Pinterest Inc. (San Francisco).

"Identifying content items in response to a text-based request" was invented by Nikil Pancha (San Francisco), Andrew Huan Zhai (Belmont, Calif.) and Charles Joseph Rosenberg (Cupertino, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for responding to a subscriber's text-based request for content items are presented. In response to a request from a subscriber, word pieces are generated from the text-based terms of the request. A request embedding vector of the word pieces is obtained from a trained machine learning model. Using the request embedding vecto...