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An intelligent recommendation system framework for student relationship management

Kongsakun, K., Fung, C.C. and Philuek, W. (2009) An intelligent recommendation system framework for student relationship management. In: 8th International Conference on e-Business (iNCEB2009), 28 - 30 October, Bangkok, Thailand.

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    Abstract

    Many universities have implemented innovative information systems and services to help their students and to support academic management processes. This paper proposes a conceptual framework to support Student Relationship Management (SRM) for Thai universities in the new electronic era. This conceptual framework assists students to choose appropriate course and subjects for their studies. The objectives of this article aim to broaden an understanding of SRM and related issues focus on recruitment, enrolment and course counseling. An Intelligent Recommendation System framework (IRS) has been designed using data mining and artificial intelligent techniques such as clustering, association rule and fuzzy logic. These techniques will be used to assess the performance of the students and to provide appropriate recommendations for their choice of courses and subjects.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    URI: http://researchrepository.murdoch.edu.au/id/eprint/8429
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