Context aware recommender systems (CARS) adapt to the specific situation in which the recommended item will be consumed. So, for instance, music recommendations while the user is ...
Linas Baltrunas, Marius Kaminskas, Bernd Ludwig, O...
—While mobile users move from one smart space to another, it is highly desirable for them to access the right media contents from the overabundant media information in the right ...
Abstract. In this paper we explore the potential of adaptive recommendation techniques in an environment where users can access a variety of services from different locations, and ...
Edoardo Pignotti, Peter Edwards, Gunnar Aastrand G...
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
Abstract. We present a concept called ‘ubiquitous attentiveness’: Context information concerning the user and his environment is aggregated, exchanged and constitutes triggers ...
Herma Van Kranenburg, Alfons H. Salden, Henk Eerti...