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Computational Intelligence techniques for Web personalization

Authors:

M. A. TorselloAuthors Info & Claims

Web Intelligence and Agent Systems, Volume 6, Issue 3

Pages 253 - 272

Published: 01 August 2008 Publication History

Abstract

Computational Intelligence (CI) paradigms reveal to be potential tools to face under the Web uncertainty. In particular, CI techniques may be properly exploited to handle Web usage data and develop Web-based applications tailored on users preferences. The main rationale behind this success is the synergy resulting from CI components, such as fuzzy logic, neural networks and genetic algorithms. In fact, rather than being competitive, each of these computing paradigms provides complementary reasoning and searching methods that allow the use of domain knowledge and empirical data to solve complex problems. This paper focuses on the major Computational Intelligent combinations applied in the context of Web personalization, by providing different examples of intelligent systems which have been designed to provide Web users with the information they search, without expecting them to ask for it explicitly. In particular, this paper emphasizes the suitability of hybrid schemes deriving from the profitable combination of different CI methodologies for the development of effective Web personalization systems.

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cover image Web Intelligence and Agent Systems

Web Intelligence and Agent Systems Volume 6, Issue 3

August 2008

115 pages

ISSN:1570-1263

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IOS Press

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Published: 01 August 2008

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Cited By

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https://dl.acm.org/doi/10.5555/2590069.2590070
Liang HXu YLi Y(2012)Personalized recommender systems integrating tags and item taxonomyWeb Intelligence and Agent Systems10.5555/2590062.259006310:3(277-289)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.5555/2590062.2590063
Xu GLi LZhang YYi XKitsuregawa M(2011)Modeling user hidden navigational behavior for Web recommendationWeb Intelligence and Agent Systems10.5555/2019488.20194929:3(239-255)Online publication date: 1-Aug-2011
https://dl.acm.org/doi/10.5555/2019488.2019492
Sakkopoulos EAntoniou DAdamopoulou PTsirakis NTsakalidis A(2010)A web personalizing technique using adaptive data structuresJournal of Systems and Software10.1016/j.jss.2010.06.02683:11(2200-2210)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1016/j.jss.2010.06.026

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