USER PROFILING: WEB USAGE MINING
In: SIKDD 2004 at multiconference IS 2004, 12-15 Oct 2004, Ljubljana, Slovenia.
Web usage mining differs from collaborative filtering in the
fact that we are not interested in explicitly discovering user
profiles but rather usage profiles. When preprocessing a log
file we do not concentrate on efficient identification of
unique users but rather try to identify separate user sessions.
These sessions are then used to form the so called
transactions (see ). In the following stage, Web usage
mining techniques are applied to identify frequent item-sets,
sequential patterns, clusters of related pages and association
rules (see Sections 3 and 4). Web usage mining can be used
to support dynamic structural changes of a Web site in order
to suit the active user, and to make recommendations to the
active user that help him/her in further navigation through
the site he/she is currently visiting. Furthermore,
recommendations can be made to the site administrators and
designers, regarding structural changes to the site in order to
enable more efficient browsing. In the case of implementing
Web usage mining system in the form of a proxy server,
predictions about which pages are likely to be visited in near
future can be made, based on the active users’ behavior.
Such pages can be pre-fetched to reduce access times.