US Patent Issued to Maplebear on Sept. 23 for "Using unsupervised clustering and language model to normalize attribute tuples of items in a database" (California, Washington Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,521, issued on Sept. 23, was assigned to Maplebear Inc. (San Francisco).

"Using unsupervised clustering and language model to normalize attribute tuples of items in a database" was invented by Shih-Ting Lin (Santa Clara, Calif.), Prithvishankar Srinivasan (Seattle), Saurav Manchanda (Seattle), Shishir Kumar Prasad (Fremont, Calif.) and Min Xie (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer system uses clustering and a large language model (LLM) to normalize attribute tuples for items stored in a database of an online system. The online system collects attribute tuples, each attribute tuple comprising an attribute typ...