The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Ad-hoc and situational applications for personal use will gain more and more traction in the work support for knowledge workers (KWers). Personal information is a key element in th...
We study the case of integrating situational reasoning into a mobile service recommendation system. Since mobile Internet services are rapidly proliferating, finding and using appr...
Marko Luther, Yusuke Fukazawa, Matthias Wagner, Sh...
Prototyping and evaluation combine to explore ways that an effective, integrative organization of project-related information might emerge as a by-product of a person's effor...
William Jones, Predrag V. Klasnja, Andrea Civan, M...
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...