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Most of traditional studies on information recommendation systems aim at recommending highly satisfactory information in a one-time or small number of uses of a system or service, and never take it into account that the user would feel tired of the same system or service after they have used it many times over. This study has modeled the human nature of being tired of the same thing and enabled the measurement of the degree of such boredom. This time, the study has implemented an information recommendation system that has features to (1) visualize the degree of the user's boredom and (2) recommend information that can reduce it. Then, an evaluation experiment was conducted using a system developed. The result of an evaluation experiment shows that the system can get the user less bored and more satisfied when used continuously.