We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...
Abstract. The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open...
Thomas Franz, Antje Schultz, Sergej Sizov, Steffen...
Interpreting the outcome of a recent survey on Internet banking in Europe, [CARIGNANI et al., 2000], we point the attention to the adoption of Web technologies in Italian retail b...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
We analyze the social network emerging from the user comment activity on the website Slashdot. The network presents common features of traditional social networks such as a giant ...