An intelligent recommendation system framework for student relationship management

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

Bulletin of Information 1985-1986

Annual bulletin with academic calendar, school objectives & course of studies, faculty, administration, degrees conferred, course descriptions, fees & tuition, financial assistance, admission requirements, affirmative action policy, academic regulations, examinations & grades, student organizations, Alumni Associationhttps://ir.lawnet.fordham.edu/bulletins/1079/thumbnail.jp

Bulletin of Information 1996-1997

Annual bulletin with academic calendar, school objectives & course of studies, faculty, administration, degrees conferred, course descriptions, fees & tuition, financial assistance, admission requirements, academic regulations, examinations & grades, student organizations, Alumni Association, nondiscrimination & affirmative action policieshttps://ir.lawnet.fordham.edu/bulletins/1090/thumbnail.jp