US Patent Issued to Microsoft Technology Licensing on July 15 for "Factorization machine with L-2 norm reduction for machine learned models" (California Inventors)

ALEXANDRIA, Va., July 16 -- United States Patent no. 12,361,330, issued on July 15, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Factorization machine with L-2 norm reduction for machine learned models" was invented by Qiang Xiao (Sunnyvale, Calif.), Haichao Wei (Santa Clara, Calif.), Jun Shi (Fremont, Calif.) and Huiji Gao (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In an example, a particular type of deep learning model is used in the global model of the GDMix model: a Factorization Machine. A Factorization Machine combines a Support Vector Machine (SVM) and Matrix Factorizations. It has the advantage of modeling data with huge sparsity well, while maintaining...