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...
Collection recommender systems suggest groups of items that work well as a whole. The interaction effects between items is an important consideration, but the vast space of possib...
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
Due to the fast growing of the information available on the Web, the retrieval of relevant content is increasingly hard. The complexity of the task is concerned both with the seman...
Enrico Triolo, Nicola Polettini, Diego Sona, Paolo...
The rapid propagation of the Internet and information technologies has changed the nature of many industries. Fast response and personalized recommendations have become natural tr...