Advances and Applications in Statistics
Volume 13, Issue 1, Pages 41 - 48
(October 2009)
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RECOMMENDATION OF CHILD EDUCATION CONTENTS IN THE MOBILE INTERNET
Sun-Ah Han (Korea)
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Abstract: New challenges of education contents recommendation become even bigger within the context of the mobile Internet. In order to build a recommendation system that is tuned for the mobile Internet, we have to mine mobile user’s interests and recommend the appropriate items in mobile devices. In recommendation, collaborative filtering method is used widely to predict user interests but has two main difficulties of data sparseness problem and cold-start problem. In this paper, in order to solve these problems, we present a hybrid approach integrating collaborative filtering using SVD (Singular Value Decomposition) and content-based filtering utilizing NBC (Naïve Bayes Classifier). |
Keywords and phrases: recommendation, child education, collaborative filtering, content-based filtering. |
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