US Patent Issued to Microsoft Technology Licensing on March 17 for "Two-tower neural network for content-audience relationship prediction" (California Inventors)

ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,367, issued on March 17, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).

"Two-tower neural network for content-audience relationship prediction" was invented by Xueqian Tang (Mountain View, Calif.), Lijun Peng (Sunnyvale, Calif.), Jiarui Wang (Sunnyvale, Calif.), Yi Zhang (Sunnyvale, Calif.), Yi Wu (Palo Alto, Calif.) and Arvind Subramaniam (Sunnyvale, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In an example embodiment, a generator model such as a large language model (LLM) is leveraged to generate embeddings for both pieces of content and users. The embeddings map the pieces of content and the users into the same la...