Recommendation System for Selecting Suitable Programmes in University based on Student Interest
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Universiti Malaysia Sarawak
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Selecting a suitable university programme is a critical decision for students, especially in specialized fields such as computer science. This thesis presents UniReco, a web-based recommendation system developed to assist students in identifying appropriate computer science programmes offered by Malaysian public universities. The system analyses users’ academic qualifications, interests, and personality traits to generate personalized recommendations. Data for recommendation is collected through a structured questionnaire that captures user preferences and maps personality traits using the RIASEC model. A hybrid recommendation approach is applied, combining content-based filtering for interest alignment with rule-based filtering for academic eligibility. Programme recommendations are determined by comparing the user profile against predefined clusters of computer science subfields, such as Software Engineering and Multimedia, and filtering results based on university entry requirements. The system is implemented as a prototype and evaluated through functionality and usability testing, focusing on its ability to provide relevant suggestions based on user input.