Abstract. Many current recommender systems exploit textual annotations (tags) provided by users to retrieve and suggest online contents. The text-based recommendation provided by t...
Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, ...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Abstract. Social interactions are one of the key factors to the success of conferences and similar community gatherings. This paper describes a novel application that integrates da...
Harith Alani, Martin Szomszor, Ciro Cattuto, Woute...
Abstract— Policy based networks provide high levels of flexibility by allowing definition of packet handling rules within a network, resource allocation strategies, network man...
Sethuram Balaji Kodeswaran, Olga Ratsimor, Anupam ...
Abstract. We discuss our DLDB knowledge base system and evaluate its capability in processing a very large set of real-world Semantic Web data. Using DLDB, we have constructed the ...