Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
We present a new approach to managing failures and evolution in large, complex distributed systems using runtime paths. We use the paths that requests follow as e through the syst...
Mike Y. Chen, Anthony Accardi, Emre Kiciman, David...
Networked constellations are often formed to provide commercial IT services by leveraging the Internet technology. The provision of IT services should remain scalable, meaning tha...
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
In this paper we present a hybrid recommendation system that combines ontological knowledge with content-extracted linguistic information, derived from pre-trained lexical graphs,...
Dorothea Tsatsou, Fotis Menemenis, Ioannis Kompats...