Journal of University of Chinese Academy of Sciences >
Academic resource collaborative recommendation algorithm based on content correlation
Received date: 2012-02-21
Revised date: 2012-03-23
Online published: 2013-01-15
We propose an academic resource collaborative recommendation algorithm by analyzing Web log to find learner's intention and mining content correlation to match interest. Experiments show that there is no significant difference in coverage between our algorithm and the existing method. The accuracy is improved by 5.13% and the response time reduces to 1/9. The accuracy is improved by 6.73% when the training/test ratio is less than 50%.
ZHOU Jia , LUO Tie-Jian . Academic resource collaborative recommendation algorithm based on content correlation[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(1) : 117 -123 . DOI: 10.7523/j.issn.1002-1175.2013.01.018
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