Higher education recommendation system

Abstract

" In several areas, recommender systems are commonly used. These programs operate by providing users with a customized list of things dependent on their requirements, thus assisting users in overcoming the overwhelming amount of knowledge available to them. Selecting the appropriate courses for users such as students is a difficult challenge when beginning a new academic stage. Choosing the wrong courses may have a negative impact on a student's academic performance as well as their potential job prospects. The purpose of this paper is to look at the use of recommender systems to help students choose courses that are appropriate for their abilities and interests. According to the findings of this study, the ML recommendation approach/system could be the best method for assisting students in selecting the appropriate courses in preparation for their future careers. "