A Community-Based Recommendation System to Reveal Unexpected Interests

Current collaborative filtering can´t represent various aspects of users´ interests. We propose a recommendation method in which a user can find new interests that are partially similar to the user´s taste. Partial similarity is an aspect of the user´s preference which is projected by the community in which the user belongs. We developed a television program recommendation system which performs such recommendation with serendipity, conducted an actual experiment and evaluated its results.