Although the ever growing Web contain information to virtually every user’s query, it does not guarantee effectively accessing to those information. In many situations, the user...
Researchers spent a large amount of their time searching through an ever increasing number of scientific articles. Although users of scientific search engines prefer the ranking o...
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...
In today’s global village, it is critical that the key information tools, such as web search engines, e-Commerce portals and e-Governance, work across multiple natural languages,...
We present SETS, an architecture for efficient search in peer-to-peer networks, building upon ideas drawn from machine learning and social network theory. The key idea is to arran...