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...
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...
This paper describes the context-aware mobile tourist application COMPASS that adapts its services to the user’s needs based on both the user’s interests and his current contex...
Mark van Setten, Stanislav Pokraev, Johan Koolwaai...
Given the large amount of existing services and the diversified needs nowadays, it is time-consuming for end-users to find appropriate services. To help end-users obtain their desi...
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...