Abstract: A content recommendation system (100) to schedule a delivery of diverse content when a user is more receptive to the recommendation is provided. The system can include an outlier scheduling module (120) for scheduling an insertion of an outlier (224) in a recommended content based on a schedule model (125) and a trigger policy (127), an outlier selection module (140) for selecting the outlier from recommended content of an affinity model (145) based on a selection policy (147), and an outlier evaluation module (160) for monitoring a current user context and adjusting the selecting and the scheduling of the outlier in response to a user feedback of the outlier. The content recommendation system can expose the user to diverse content based on the user's current consumption pattern and current context.