We are witnessing an explosive increase in the complexity of the information systems we rely upon. Autonomic systems address this challenge by continuously configuring and tuning ...
Mariano P. Consens, Denilson Barbosa, Adrian M. Te...
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
Neal Lathia, Stephen Hailes, Licia Capra, Xavier A...
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
The reciprocal recommender is a class of recommender system that is important for several tasks where people are both the subjects and objects of the recommendation. Some examples...
Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chu...