ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,717,843, issued on Aug. 25.

"Measuring fairness in large-scale recommendation systems with missing labels" was invented by Kun Jin (Culver City, Calif.), Yulong Dong (Los Angeles) and Xinghai Hu (Culver City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Example computer-implemented methods and systems for fairness metric estimation are disclosed. One example method includes, for each user of multiple users, obtaining first data associated with a first collection of items, the first collection of items being recommended to the user by a recommendation model. Second data associated with a second collection of items recommended to the user is obta...