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...
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
Proactive contextual information systems help people locate information by automatically suggesting potentially relevant resources based on their current tasks or interests. Such ...
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminz...