College Recommendation System for Students Using Data Mining With Collaborative Filtering Algorithm

Abstract

Now a day’s students are showing interest to join in their dream colleges according to their required branches and facilities regarding the studies. But here issue is due to lack of information about the colleges they are facing difficulties to choose their dream course and the colleges after completion of their standard education. Now we are creating a recommendation system which is helpful to the students to choose their dream course and college which are they are looking. We collect the information about the colleges. The information about the placements, courses, facilities in the college we collect from old students and current studying students. We rank the colleges based on the NAAC, NBA and placements. It is helpful to the students who are looking for the best colleges to join and fulfill their dream. The objective of the project has to enable the students to find the colleges by using the proposed recommendation system. This recommendation system works by using the collaborative filtering algorithm. When the student search for the colleges. This recommendation system shows the list of colleges according to student criteria. Then student can choose among those in which college he is interested to do admission. The project is implemented using rapid miner tool.