A Recommender System for Collaborative Knowledge

Date: 2009
Publisher: IOS Press Amsterdam, The Netherlands, The Netherlands ©2009
Published in: Proceeding of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, pages 309-316
ISBN: 978-1-60750-028-5 (Online)
Authors: Weiqin Chen and Richard Persen

Abstract:
To provide recommendations of learning objects and adaptive learning support has been one of the main areas within the AIED community. Learnergenerated material could potentially be valuable as learning resources. How to identify relevant learner-generated resources and provide just-in-time recommendations to the learner is a challenging task. This paper presents a recommender system that can recommend collaborative knowledge constructed and accumulated by previous learners.

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