Due to the COVID-19, E-Learning platform started to grow rapidly and many companies have already developed many web and mobile applications that can support real-time education. One of the issues is that people start to lose interest in this kind of education because they do not have any clue what ideal courses for them to learn. Detecting ideal courses for students to learn is a bit boring and messy work for them since they do not have any idea of where to start. So, in order to mitigate this problem, a recommendation system (RS) was proposed. The focus of this research is on developing a recommendation system in Xcelearn commercial web portal for detecting ideal courses for students to learn by answering survey questions..

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