ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,406,195, issued on Sept. 2, was assigned to Naver Corp. (South Korea).
"Adaptive pointwise-pairwise learning to rank" was invented by Jean-Michel Renders (Quaix en Chartreuse, France) and Yagmur Gizem Cinar (Grenoble, France).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method of ranking items for a given entity uses sets of triplets greater thanu, i, jless than, each set of triplets including an entity u and a pair of items i and j with a known relative relevance for entity u, to train a learnable scoring function f and to learn optimized values of a first set Theta of learnable parameters. The training includes optimizing a loss function depending ...