Abstract:
Nowadays, the world is in knowledge age. Variety
of new technologies and supports are being evolved
for education. One of the most well known systems is
recommendation system. Recommender system uses
the opinions of a community of users to help
individuals in that community more effectively. In
this paper, the system propose a multi agent
recommendation system for education service mainly
on information retrieving and recommending course
(subject) lists. This recommendation system is based
on item-based collaborative filtering method for
recommending related subjects on user’s interested
subjects and multidimensional association rule
method for providing knowledge about the
relationship between the users and degree courses.
These techniques made as a form of agent and
perform separately in its corresponding sections. The
system provides agent based information extraction
by user's preferences. This system provides
information and recommendation to users to help
them to decide which are interested or to be chosen.
