A Review on Recommender Systems for University Admissions

Aditi Bhide, Karan Karnik, Pradnya Badge, Varun Joshi, Vina M. Lomte

Abstract: 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.

Keywords: data mining, recommender systems, neural networks, university admissions

How to Cite?: Aditi Bhide, Karan Karnik, Pradnya Badge, Varun Joshi, Vina M. Lomte, "A Review on Recommender Systems for University Admissions", Volume 5 Issue 12, December 2016, International Journal of Science and Research (IJSR), Pages: 141-146, https://www.ijsr.net/getabstract.php?paperid=ART20163309, DOI: https://dx.doi.org/10.21275/ART20163309