Аннотация
Web Portals offer users a central point of access to companywide
information. Initially they focused on presenting
the most valuable and widely used information providing
quick and efficient information access. But the amount of
accessible information has grown tremendously and finding
the right information has become more complex and time
consuming.
We utilize Web 2.0 techniques to address this issue. By
incorporating tagging and rating functionality in Portals
we can derive users', groups' or entire communities' interests,
preferences and skills which allows for reasonable
recommendations and adaptations resulting in a more
user-tailored Portal. Our aim is to tailor the information
presented to the set of information really relevant to a user
- especially with respect to a certain context. In particular
we analyze users tagging behavior to understand which
resources are of higher importance to them than others and
provide them with easier access to them. We additionally
evaluate the semantic relations between the resources (and
tags) being used in order to recommend related resources
(or tags) which might be of interest to users in certain
situations, too. We finally utilize our knowledge about the
semantic interrelation between resources (and tags) to reorder
those to better match users' needs. Thus we outline a
solution in which we construct a Portal's navigation structure
entirely based on the communitys' tagging behavior. Of
course, as we do not only analyze each single user's tagging
behavior separately, but also the tagging behavior of the
entire community, we make use of collective intelligence.
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