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: | , |
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| Format: | Article |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/4696/ http://ejum.fsktm.um.edu.my/article/973.pdf |
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