US Patent Issued to Maplebear on Dec. 9 for "Clustering database items based on output of machine-learning model to link database items that represent the same core item but with a different stored size or form attribute" (Canadian, American Inventors)

ALEXANDRIA, Va., Dec. 9 -- United States Patent no. 12,493,655, issued on Dec. 9, was assigned to Maplebear Inc. (San Francisco).

"Clustering database items based on output of machine-learning model to link database items that represent the same core item but with a different stored size or form attribute" was invented by Naval Shah (Toronto), Charles Wesley (San Diego), Brent Scheibelhut (Toronto) and Mark Oberemk (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "A trained machine-learning model is used to group items in a database of an online system that represent a same core item (i.e., product) but of different attributes. The online system applies, for pairs of items from a specific chunk of the ...