Wolfgang Woerndl, Johann Schlichter
In this paper, we give an overview of our work to investigate the integration of context into different kind of recommender systems. Context adds an additional another dimension to the user-item data model of recommender system and can be utilized in different ways during contentbased or collaborative recommendation processes. We give several application examples we are working on to apply contextual recommenders in real world scenarios.
Subjects: 1.7 Expert Systems; 6. Computer-Human Interaction
Submitted: May 14, 2007