We present a system that optimizes sequences of related client requests by combining small requests into larger ones, thus reducing per-request overhead. The system predicts upcom...
Nowadays, the vast volume of collected digital data obliges us to employ processing methods like pattern recognition and data mining in order to reduce the complexity of data manag...
Ilaria Bartolini, Elisa Bertino, Barbara Catania, ...
In modern architectures based on Web Services or Cloud Computing, a very large number of user requests arrive concurrently and has to be scheduled for execution constrained by cor...
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
We present Stretch `n' Shrink, a query design framework that explicitly takes into account user preferences about the desired answer size, and subsequently modifies the query...