The pyramid collaborative filtering method: toward an efficient e-course

Authors:
Sofiane A. Kiared;Mohammed A. Razek;Claude Frasson
Affiliations:
Département d'informatique et de recherche opérationnelle, Université de Montréal, Montréal, Québec, Canada;Faculty of Science, Math. and Computer Science Department, Azhar UniversityCairo, Egypt;Département d'informatique et de recherche opérationnelle, Université de Montréal, Montréal, Québec, Canada
Venue:
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Year:
2006

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Abstract

Web-based applications with very diverse learners fail because they fail to satisfy various needs. Some people use collaborative filtering methods to analyze learners' profiles and provide recommendation to a new learners, but this methods provides false recommendations from beginners. We present a new method, which provides recommendations that depend on the credibility rather than the number of learners. We have designed, implemented, and tested what we call the Intelligent E-Course Agent (IECA). Our evaluation experiment shows that our approach greatly improves learners' knowledge and therefore presents a course that is more closely related to their needs.