US Patent Issued to ADOBE on Aug. 5 for "Constraint sampling reinforcement learning for recommendation systems" (California Inventors)

ALEXANDRIA, Va., Aug. 6 -- United States Patent no. 12,380,359, issued on Aug. 5, was assigned to ADOBE INC. (San Jose, Calif.).

"Constraint sampling reinforcement learning for recommendation systems" was invented by Tong Mu (Cypress, Calif.), Georgios Theocharous (San Jose, Calif.) and David Arbour (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for sequential recommendation receive a user interaction history including interactions of a user with a plurality of items, select a constraint from a plurality of candidate constraints based on lifetime values observed for the candidate constraints, wherein the lifetime values are based on items predicted for other users using ...