ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,155, issued on May 12, was assigned to Capital One Services LLC (McLean, Va.).

"Machine learning model for entity resolution" was invented by Fan Feng (New York), Allison Fenichel (Brooklyn, N.Y.) and Illiana Reed (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "In some implementations, a system may define common attributes of a first dataset and a second dataset. The system may generate a candidate set of mappings between one or more entities in the first dataset and one or more entities in the second dataset based on candidate generation criteria associated with a related pair of common attributes. The system may generate feature sets ...