Data di Pubblicazione:
2007
Abstract:
The Web is an integral part of today's busi- ness dealings. Companies and institutions exploit the Web to conduct their business; customers make daily use of the Net to per- form all kinds of transactions. In addition, most users browse through pages of per- sonal interest. The Web, as we know, is massive and its data collected from count- less sources. Consequently, search tools should be able to accurately extract, filter, and select what is "hidden" from such tools.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Online Recommender System; Suggest
Elenco autori:
Baraglia, Ranieri; Silvestri, Fabrizio
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