US Patent Issued to Microsoft Technology Licensing on June 17 for "Using unsupervised machine learning to identify attribute values as related to an input" (California Inventors)

ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,501, issued on June 17, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Using unsupervised machine learning to identify attribute values as related to an input" was invented by Liwei Wu (Davis, Calif.), Lichao Ni (Sunnyvale, Calif.), Mikaela Makalinao Guerrero (Downey, Calif.) and Yanen Li (Hillsborough, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Technologies for skill taxonomy management are described. Embodiments include extracting an input text from an online system and applying an unsupervised generative text machine learning model to the input text. The text generator generates a set of sentences based on a job ...