The University Recommendation System for Higher Education
Aishwarya Nalawade1, Bhavana Tiple2
1Aishwarya Nalawade, School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India.
2Bhavana Tiple, School of Computer Engineering and Technology, MIT World Peace University, Pune, Maharashtra, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1692-1696 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7632038620/2020©BEIESP | DOI: 10.35940/ijrte.F7632.038620
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recommendation system has become a requirement in today’s world. This recommendation system is spread over large sectors right from education, entertainment, health, business etc. The University Recommendation System is a system which recommend right university for the students based on their GRE, TOFEL score. Due to rapid increase in data and lack of learning in education filed, students often halt selecting wrong universities. Thus, there is a need of recommendation system which is trained to understand the user’s requirements and suggests them that suitable university which they need. Typically, recommendation mechanisms are used based on user’s historical data. It helps the user to discover information and settle on right choices where they do not have the required learning to judge a specific item. This paper explores the flow, types and uses of recommendation system in education.
Keywords: Content Based Filtering, Recommendation System, Collaborative Filtering, Artificial Intelligence.
Scope of the Article: Smart Learning And Innovative Education Systems.