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Dynamic personalization of Web sites without user intervention

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Online Recommender System; Suggest
List of contributors:
Baraglia, Ranieri; Silvestri, Fabrizio
Handle:
https://iris.cnr.it/handle/20.500.14243/44307
Published in:
COMMUNICATIONS OF THE ACM
Journal
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URL

http://dl.acm.org/citation.cfm?id=1216022
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