Hybrid Recommender System for College Courses
Zaidali Khoja, Sujala D. Shetty · 2017
Recommender Systems find application in a large number of software given its effectiveness in guiding users to better content, thus making their decision process easier. A similar recommender system can be designed for helping students to choose the right college courses. Based on the ratings given by a student to a few courses, the course recommender application will predict a user's preferences and will further recommend courses that a student might want to enroll in. These recommendations will be made both on the basis of the user's interests and on the basis of the interests of the users similar to the student. The course recommender application can be integrated with the college registration system so that students can take better academic decisions while registering. The recommender engine will be demonstrated using an iOS-based mobile application.