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An intelligent recommendation system framework for student relationship management

Kongsakun, K., Fung, C.C., Borirug, S. and Philuek, W. (2010) An intelligent recommendation system framework for student relationship management. In: WASET 2010, 24 - 26 February, Penang, Malaysia.

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    Abstract

    In order to enhance student satisfaction, many services have been provided in order to meet student needs. A recommendation system is a significant service which can be used to assist students in several ways. This paper proposes a conceptual framework of an Intelligent Recommendation System in order to support Student Relationship Management (SRM) for a Thai private university. This article proposed the system architecture of an Intelligent Recommendation System (IRS) which aims to assist students to choose an appropriate course for their studies. Moreover, this study intends to compare different data mining techniques in various recommendation systems and to determine appropriate algorithms for the proposed electronic Intelligent Recommendation System (IRS). The IRS also aims to support Student Relationship Management (SRM) in the university. The IRS has been designed using data mining and artificial intelligent techniques such as clustering, association rule and classification.

    Publication Type: Conference Paper
    Murdoch Affiliation: School of Information Technology
    Notes: In: Conference Proceedings of the “World Academy of Science, Engineering and Technology” , Penang, Malaysia, volume 62, Date: 24-26 February 2010
    URI: http://researchrepository.murdoch.edu.au/id/eprint/8433
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