Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...
Congested networks and overloaded servers resulting from the ever growing number of Internet users contribute to the lack of good quality video streaming over the Internet. We pro...
Ethendranath Bommaiah, Katherine Guo, Markus Hofma...
A primary challenge to large-scale data integration is creating semantic equivalences between elements from different data sources that correspond to the same real-world entity or...
Shawn R. Jeffery, Michael J. Franklin, Alon Y. Hal...
Abstract. In recent times, the proliferation of spatial data on the Internet is beginning to allow a much larger audience to access and share data currently available in various Ge...
Alberto Belussi, Omar Boucelma, Barbara Catania, Y...
Abstract. Assessing the matching error rates of a biometric identification devices is integral to understanding its performance. Here we propose and evaluate several methods for cr...