A Review on Recommender Systems for University Admissions

Data mining is the process of exploring and discovering patterns in large datasets. It involves analyzing a data set from different aspects and summarizing it into usable and useful information which can be used to minimize costs and increase efficiency. Students are unaware of the best institute suited for them due to insufficient information. A large number of students apply to universities for admissions in various streams. This paper explores the various recommender mechanisms that use data mining and neural networks to tackle university admission problems.