CONTENT RECOMMENDATION SYSTEM, CONTENT RECOMMENDATION METHOD, CONTENT RECOMMENDATION DEVICE, PROGRAM, AND INFORMATION STORAGE MEDIUM

摘要

It is possible to recommend various types of contents corresponding to various preferences of a user. A content recommendation system includes: an attribute value storage means which stores one or more attribute values of one or more attributes for each of the contents; a preference distribution storage means which stores a user preference degree for each of the attributes values for each of the attributes; an attribute value acquisition means which acquires an attribute value of at least one attribute for each of the contents owned by the user; a preference distribution update means which updates the storage contents in the preference distribution storage means in accordance with the attribute value acquired by the attribute value acquisition means; a condition determination means which selects an attribute value of one or more attributes in accordance with a probability based on the user preference degree stored in the preference distribution storage means and determines the condition of the attribute value of the one or more attributes in accordance with the selected attribute value; and a content selection means which selects some or all of the contents in accordance with the condition determined by the condition determination means.