US Patent Issued to Fidelity Information Services on Nov. 3 for "Systems and methods for using machine learning techniques to predict item group composition" (Washington, California, Florida, Virginia Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,784,065, issued on Nov. 3, was assigned to Fidelity Information Services LLC.

"Systems and methods for using machine learning techniques to predict item group composition" was invented by Benjamin Wellmann (Delray Beach, Fla.), Luke Jurat (Fairfax, Va.), Edward S. Barker (Seattle) and Stephane Wyper (Calabasas, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for predicting item group composition are disclosed. A system for predicting item group composition may include a memory storing instructions and at least one processor configured to execute instructions to perform operations including: receiving entity identification inform...