Information processing method, information processing system, and program

Abstract

Provided are an information processing method, an information processing system, and a program capable of generating a suggested item list that is robust against the domain shift by applying a plurality of models that are trained by using datasets of domains different from an introduction destination domain. The information processing system is configured to: acquire one or more candidate items from each of a plurality of models trained by using datasets in one or more domains different from an introduction destination domain; and select, from among a plurality of the acquired candidate items, a plurality of candidate items having different domains from each other as suggested items and generate a suggested item list that is a suggested item list including a plurality of the suggested items and that has robust performance against a domain shift.

Dependencies are inferred from the claim text.