While sutfing the internet, it's common to browse a page which has not been visited
before. {[the user finds the page interesting, probably the links within the page will be visited too, in
order to find more relevant iriformation. Following links of an unknown websites takes more time
and may lead to irrelevant iriformation. On the other side, there might be some users with the same
interest, have been visited the same page and have found out which links are useful and which are
nOI. This application records useful links selected by users and will be shown to other users with the
same community of interest. Aglet is used to connect client application to a database for its
autonomy, its responsive ability towards its execution environments, and its ability to communicate
with each other. This experiment has been conducted in an intranet environment. The result
showed that a user could get some recommendation by other users on a web addresses and they
could also participate in giving recommendation.
Keywords: Browsing, Software Agent, Recommendation, Interest, Community, Aglet
