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Improving the recommendation of mobile services by interpreting the user's icon arrangement

The aether soon will be pervaded with a high density of digital services for usage on mobile phones. Personalization plays a crucial role for the success and acceptance of such systems. In this paper, we present work in progress on a new approach for improving the personalization of recommender systems for pervasive services. Mobile utilization is extended from services inherent in devices to pervasive services. We describe a new concept for collaborative and content-based filtering based on the users' service rankings given by arrangement of menu icons and discuss different models for interaction with a varying icon menu.