Personalization Of Information Delivery Based
On Web Mining And DNA Classification
Author(s)
M. Santos & J. Amado
Abstract
It is hard to find any kind of media with a growth-rate as high as the World Wide
Web. At the same time, it is hard to find one that stores within itself such an
amount of metadata, useful for an in-depth study. It is wrong to look at the
WWW simply as a kind of information store. Although all its contents are
information one way or the other, the truth is there are quite a few ways of letting
the users interact with that information, either to manipulate it (via ajax-based
applications), to alter it (through the use of wikis), to add to it (via blogs and web
sites themselves) or to transform and amplify its meanings. These are only a few
examples of what can be done today. Web site access logs are the main
information source on how the WWW is used. Rather than asking the users if
they viewed the pages (such as a TV station might do), any web site has the
means to keep a permanent record about its visitors. By analyzing these logs, we
are able to get a better understanding of the roles played by the web site. In this
paper we borrow a few concepts from biology, in order to establish a kind of
‘DNA’ for each document on the web site of the Portuguese Tribunal de Contas
(Court of Auditors). We do this by looking at the WWW as an information
source and by processing what we find. At the same time, we try to extend the
same approach to the users who looked for those documents, by processing the
web access logs. The results of such an approach might enable future uses of
automatic document classification, as well as an effective personalization of
information delivery.
Keywords
Keywords: web mining, DNA, access logs.
Related Book
Other papers in this volume
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