JSEA  Vol.6 No.7 B , July 2013
The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine
Abstract: The traditional library can’t provide the service of personalized recommendation for users. This paper used Clementine to solve this problem. Firstly, model of K-means clustering analyze the initial data to delete the redundant data. It can avoid scanning the database repeatedly and producing a large number of false rules. Secondly, the paper used clustering results to perform association rule mining. It can obtain valuable information and achieve the service of intelligent recommendation.
Cite this paper: J. Lina and M. Zhiyong, "The Application of Book Intelligent Recommendation Based on the Association Rule Mining of Clementine," Journal of Software Engineering and Applications, Vol. 6 No. 7, 2013, pp. 30-33. doi: 10.4236/jsea.2013.67B006.

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