CONTENT RECOMMENDATION SYSTEM

PROBLEM TO BE SOLVED: To recommend appropriate contents with taking a user's preference and environmental factors into consideration.SOLUTION: A content recommendation system includes an integration module, a model generation module, and a recommendation module. The integration module integrates condition data for describing an environment where contents are recommended by a user, feedback data for describing a response of a user to the recommendation, and content data. The model generation module generates a content preference model that represents dynamic content preference of a user, on the basis of the integrated data. The recommendation module generates a first content recommendation on the basis of the content preference model. Furthermore, the recommendation module updates the model in response to receiving feedback data about a recommendation from a user, and generates a new content recommendation on the basis of the updated content preference model.