Utilizing Collaborative Filtering and Recommender Service in the Student Advising and Course Registration System.

In this paper the modified collaborative filtering model is used to adopt the collaborative filteringCF for timetabling and academic advising, and then present the suitable algorithm for recommender system to improve student registration system. The modified models can be implemented to solve student course registration and advising issues. Student course registration is important as well as the course registration process to ensure that the students achieve their university degree requirements in a comprehensive way and structured approach without facing unnecessary delays and needless procedures.