Interacting with Adaptive Services and Recommender Systems
We investigate selected research problems regarding user modeling and personalization, especially interactive recommender systems. Delivering accurate and timely information is particularly valuable in mobile scenarios. Therefore it is desirable to assist the user by services that are tailored towards her context. The main goal is to improve the user experience when interacting with mobile recommender systems and other adaptive services.
General topic areas: recommender systems, user modeling, human-computer interaction and mobility.