Context-aware, ontology-based recommendations

In this paper we study the synergy between user behavior, context data, and semantic information in order to enable future services to adapt to different situations based on the recommendations of a service-independent recommender. Therefore, we propose a system that delivers context-aware recommendations, which are based on provided feedback, context data, and an ontology-based content categorization scheme. We provide a detailed overview of the specification, a short description of a possible service scenario and a discussion of the results.