US Patent Issued to Intel on July 29 for "Recommendation system with sparse feature encoding" (American, Indian Inventors)

ALEXANDRIA, Va., July 30 -- United States Patent no. 12,373,874, issued on July 29, was assigned to Intel Corp. (Santa Clara, Calif.).

"Recommendation system with sparse feature encoding" was invented by Gopi Krishna Jha (Bangalore, India), Anthony Thomas (San Diego) and Nilesh Jain (Portland, Ore.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A recommendation system includes a recommendation model for generating a recommendation score for a user with respect to an item. The model is configured to receive a set of dense features, describing numerical information, and a set of sparse features, representing a subset of items from a relatively large group of items. To represent the subset of items in the spars...