| Popis: |
Recommendation system is an ongoing research that is applied in various domains. Students are often confused when it comes to choosing a particular course. They are unable to choose one based on their interest. Course recommendation is considered a complex domain that has not been explored thoroughly. It benefits undergraduate students who need suggestion and also enhances course selection processes during the pre-registration period. Our system introduces a recommendation system for university elective courses, which recommends the courses based on the similarity between the course templates of students. According to our research, there are a few techniques and algorithms introduced for recommendation that can be used in course recommendation system. The techniques and algorithms vary from content-based recommendation, collaborative filtering, and rule-based mining. Our system focuses on designing and developing the recommendation system that is able to recommend elective courses for university students and to assist them to make correct decision for enrolling in that course for that semester. The recommendation system is developed to provide aid to students in suggesting suitable courses for them as well as reducing time to explore courses that they will take. Since there are many elective courses in each semester, students have to spend a lot of time for exploring those courses, and they may not be able to explore all of them. Apart from assisting the student, recommendation systems could help the university also, by suggesting course for the student based on interest, current trend, and need. |
