Abstract:
Today’s websites are having a lot of small
parts or details arranged in a complicated way
and are therefore sometimes difficult to
understand for the visitors.The web sites
designers are faced with increasing challenges
when it comes to organizing large amounts of
information in such a way that includes quick
access to relevant information and does not
require too much user effort.Shortcutting aims to
reduce the number of clicks required in a user’s
navigational path to reach a target document,
assisting the user in navigating through a website
and thereby also improving the website’s
organization. This paper presents an approach to
find shortcut links by web usage mining and aims
to suggest shortcut links to the website designer
based on the collective user access patterns
obtained from that site’s web logs.In this system,
similar navigational paths are grouped together
by using PAM (Partitioning Around Medoids)
clustering method and find wayposts, hyperlinks,
that can act as potential shortcuts points by
identifying documents that commonly co-occur in
these paths.Shortcut links that need to be
established between previously unrelated web
pages or documents can be drawn out of these
patterns. In this paper, K-fold cross-validation
was used to evaluate the system.
