An empirical evaluation of learner performance in e-learning recommender systems and an adaptive hypermedia system

This paper introduces a novel architecture for an e-learning recommender system which is based on good learners' average ratings strategy and content-based filtering approach. The feasibility of the proposed system is conducted by comparing its performance against other recommender systems and...

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Main Authors: Ghauth, K.I., Abdullah, N.A.
格式: Article
出版: 2010
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在線閱讀:http://eprints.um.edu.my/4696/
http://ejum.fsktm.um.edu.my/article/973.pdf
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