US Patent Issued to Maplebear on July 8 for "Method, computer program product, and system for training a machine learning model to generate user embeddings and recipe embeddings in a common latent space for recommending one or more recipes to a user" (California, New Jersey Inventors)

ALEXANDRIA, Va., July 9 -- United States Patent no. 12,354,153, issued on July 8, was assigned to Maplebear Inc (San Francisco).

"Method, computer program product, and system for training a machine learning model to generate user embeddings and recipe embeddings in a common latent space for recommending one or more recipes to a user" was invented by Ramasubramanian Balasubramanian (Jersey City, N.J.), Girija Narlikar (Palo Alto, Calif.) and Omar Alonso (Redwood City, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online concierge system generates recipe embeddings for recipes including multiple items and user embeddings for users, with the recipe embeddings and user embeddings in a common latent sp...