Recommendation System for Education Service Using Multi Agent

Nowadays, the world is in knowledge age. Varietyof new technologies and supports are being evolvedfor education. One of the most well known systems isrecommendation system. Recommender system usesthe opinions of a community of users to helpindividuals in that community more effectively. Inthis paper, the system propose a multi agentrecommendation system for education service mainlyon information retrieving and recommending course(subject) lists. This recommendation system is basedon item-based collaborative filtering method forrecommending related subjects on user’s interestedsubjects and multidimensional association rulemethod for providing knowledge about therelationship between the users and degree courses.These techniques made as a form of agent andperform separately in its corresponding sections. Thesystem provides agent based information extractionby user's preferences. This system providesinformation and recommendation to users to helpthem to decide which are interested or to be chosen