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Title of Journal: World Wide Web

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Abbravation: World Wide Web

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Kluwer Academic Publishers

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DOI

10.1016/0022-247x(77)90088-9

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1573-1413

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Mining User Preferences Page Content and Usage to

Authors: Sergio Flesca Sergio Greco Andrea Tagarelli Ester Zumpano
Publish Date: 2005/08/01
Volume: 8, Issue: 3, Pages: 317-345
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Abstract

The growing availability of information on the Web has raised a challenging problem can a Webbased information system tailor itself to different user requirements with the ultimate goal of personalizing and improving the users experience in accessing the contents of a website This paper proposes a new approach to website personalization based on the exploitation of user browsing interests together with content and usage similarities among Web pages The outcome is the delivery of page recommendations which are strictly related to the navigational purposes of visitors and their actual location within the cyberspace of the website Our approach has been used effectively for developing a noninvasive system which allows Web users to navigate through potentially interesting pages without having a basic knowledge of the website structure


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