SortNet: Learning To Rank By a Neural-Based Sorting Algorithm

no code implementations • 3 Nov 2023 • Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli

Two main approaches exist in literature for the task of learning to rank: 1) a score function, learned by examples, which evaluates the properties of each object yielding an absolute relevance value that can be used to order the objects or 2) a pairwise approach, where a "preference function" is learned using pairs of objects to define which one has to be ranked first.

Learning-To-Rank