US Patent Issued to Maplebear on Sept. 30 for "Machine learning model for click through rate predication using three vector representations" (Washington, New Jersey Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,430,679, issued on Sept. 30, was assigned to Maplebear Inc. (San Francisco).

"Machine learning model for click through rate predication using three vector representations" was invented by Ramasubramanian Balasubramanian (Jersey City, N.J.) and Saurav Manchanda (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online concierge system uses a machine learning click through rate model to select promoted items based on user embeddings, item embeddings, and search query embeddings. Embeddings obtained by an embedding model may be used as inputs to the click through rate model. The embedding model may be trained using different actions to score the s...