US Patent Issued to Roblox on April 14 for "Self-supervised learning through data augmentation for recommendation systems" (California Inventors)

ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,441, issued on April 14, was assigned to Roblox Corp. (San Mateo, Calif.).

"Self-supervised learning through data augmentation for recommendation systems" was invented by Xiaohong Gong (Sunnyvale, Calif.) and Frank Ong (San Mateo, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method to train a machine-learning model to recommend virtual experiences to a user. The method includes receiving training data that includes original training examples corresponding to a set of virtual experiences, where individual training examples comprise user features and item features. The method further generating augmented training examp...