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

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International Association of Computer Science and Information Technology (IACSIT)
International Association of Computer Science and Information Technology (IACSIT)
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ISBN:
9780791859544
No. of Pages:
590
Publisher:
ASME Press
Publication date:
2010

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.

Abstract
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
6.Conclusions
References
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