ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,399,945, issued on Aug. 26, was assigned to NAVER Corp. (Gyeonggi-Do, South Korea).
"Joint personalized search and recommendation with hypergraph convolutional networks" was invented by Thibaut Thonet (Grenoble, France) and Jean-Michel Renders (Quaix en Chartreuse, France).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method of training a hypergraph convolutional network (HGCN) includes: receiving training data including search instances and recommendation instances; constructing a hypergraph from the training data, where each node of the hypergraph represents one of a user profile, a query term, and a content item, and where the hypergraph represents...