Recommendation system

Abstract

Provided is a recommendation system including: a user data acquisition module that acquires, for each of a plurality of users, user data indicating an interest of a user; an item data acquisition module that acquires item data indicating a feature of each item; a multifaceted similarity calculation module that calculates a user-to-user similarity indicating a similarity between a target user and another user on a basis of the user data and calculates an item-to-item similarity indicating a similarity between items on a basis of the item data; an unexpectedness evaluation value calculation module that calculates an unexpectedness evaluation value indicating unexpectedness of each item for the target user on a basis of the user-to-user similarity and the item-to-item similarity; and a recommendation module that recommends, to the target user, an item selected on a basis of the unexpectedness evaluation value that has been calculated.

Dependencies are inferred from the claim text.