Towards service-oriented recommendation functionalities within pervasive e-learning systems Online publication date: Wed, 08-Jul-2009
by Mihaela Brut, Dana Al-Kukhun, Florence Sedes
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 4, No. 2, 2009
Abstract: In the age of mobile computing where users can access learning materials while moving around different locations, a teacher, a student or a document might often face difficulties in being integrated within different e-learning systems. Focusing on the Computer Science field, we present a service-oriented solution for providing users with recommendations of interest documents and possible collaborators, enhancing their mobility within a pervasive e-learning system. Our solution is based on the ACM classification system, which is used to develop user competence profiles, to annotate materials, and to recommend them.
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