Research on Adaptive Recommendation Technology in Bidirectional Recommendation System for Learning Web Digital Texts

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Existing e-learning systems do not show advantages, because of simply enumerating the teaching materials. In our developing "An Individual Reviewing System(AIRS)", optimal contents for learners are recommended using Collaborative Filtering method. However, Collaborative Filtering method has disadvantages in that unless sufficient historical data is available, recommendation may not be possible. To overcome this disadvantage, we first experimented and evaluated our proposed recommendation method called "Attribute Correlation Method". Then, we improved this method before developing a new approach named "Collaborative Attribute Method". Finally, we again evaluated its effectiveness.