We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Abstract. Linked Data brings the promise of incorporating a new dimension to the Web where the availability of Web-scale data can determine a paradigmatic transformation of the Web...
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...
Most algorithms for extracting illuminant chromaticity from arbitrary images, such as the images found on the web, are based on machine learning techniques. We will show how a phy...
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology onl...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di...