ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,475,171, issued on Nov. 18, was assigned to Pinterest Inc. (San Francisco).
"Identifying similar content in a multi-item embedding space" was invented by Andrew Huan Zhai (San Mateo, Calif.), Kaifeng Chen (San Mateo, Calif.) and Charles Joseph Rosenberg (Cupertino, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for identifying content for an input query are presented. A mapping model is trained to map elements of an input query embedding vector for a received query into one or more elements of a destination embedding vector. In response to receiving an input query, an input query embedding vector is generated that projects int...