Eliciting user preferences for large datasets and creating rankings based on these preferences has many practical applications in community-based sites. This paper gives a new met...
This paper provides an overview of MediaDART, a framework for building online services for distributing and sharing digital media. Inspired by the participative model of Web 2.0, ...
Personalized and context-aware services are of high interest for Mobile Network Operators (MNOs) to keep existing and win new subscribers. Although such services are already avail...
The goal of our work is to help users make more informed choices about what physical activities they undertake. One example is to provide relevant information to help someone choo...
Adrienne H. Andrew, Yaw Anokwa, Karl Koscher, Jona...
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...