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Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)

International Association of Computer Science and Information Technology (IACSIT)
International Association of Computer Science and Information Technology (IACSIT)
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ASME Press
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This paper is based on the two recommendations: the Content-based Recommendation and the Collaborative Filtering Recommendation into a hybrid recommendation. The paper combined with the two algorithms recommendations characteristics, given the basic flow chart of hybrid filter. The experimental date used to analyze and evaluate the beneficiation of the hybrid recommendation. Finally, the mean absolute error to illustrate the recommendation method is reasonable. Made the information of the system E-Learning is better to recommend.

Key Words
1 Introduction
2 The Technology of Personalized Recommendation
3. The Hybrid Recommendation
4. The Algorithm of Personalized Recommendation
5. Analysis the Experimental Data and Performance Evaluation
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