The Teaching Resources Recommendation System Research Based on Java EE
Software Engineering
Volume 4, Issue 2, March 2016, Pages: 19-26
Received: Apr. 20, 2016; Published: Apr. 21, 2016
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Haihui Wu, College of Software, Shenyang Normal University, Liaoning Shenyang, China
Bo Song, College of Software, Shenyang Normal University, Liaoning Shenyang, China
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With the growing popularity of teaching resources platform construction, various forms of teaching resource materials more and more, how to provide users with intelligent recommendation of teaching resources is a key issue. This article will be introduced to the trust relationship neighbor recommended an improved algorithm recommendation algorithm, designed to ease cold start recommendation system, we recommend that affect the process of distrust. The recommendation that the improved algorithm is applied to Java EE-based teaching resource recommendation system, effectively improve the system of teaching resources recommended to the user efficiency and accuracy, improve the real-time requirements so that online learning system.
Trusts, Recommended Neighbor Algorithm, Java EE
To cite this article
Haihui Wu, Bo Song, The Teaching Resources Recommendation System Research Based on Java EE, Software Engineering. Vol. 4, No. 2, 2016, pp. 19-26. doi: 10.11648/
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