US Patent Issued to Rakuten Group on May 12 for "Cold-start recommendation system using shared neural item representations with fixed weight initialization" (California Inventor)

ALEXANDRIA, Va., May 12 -- United States Patent no. 12,626,126, issued on May 12, was assigned to Rakuten Group Inc. (Tokyo).

"Cold-start recommendation system using shared neural item representations with fixed weight initialization" was invented by Ramin Raziperchikolaei (San Mateo, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to an improved machine learning-based recommender system and method for cold-start predictions on an ecommerce platform. The improved system predicts user-item interactions with respect to cold-start items in which only side information is available. Item representations generated by an item neural network encoder from item side information are...