Recommendation System for Education Service Using Multi Agent

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.