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Application Research of Information Recommendation Based on Association Rules in Agricultural Information Network

文献类型： 外文期刊

作者： Luan, RuPeng 1 ; Zhang, Qian 1 ; Zhang, JunFeng 1 ; Yu, Feng 1 ; Liu, Xin 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Agr Scientech Informat, Beijing, Peoples R China

关键词： association rules;Apriori algorithm;web data mining;information recommendation

期刊名称：PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON INFORMATION, BUSINESS AND EDUCATION TECHNOLOGY (ICIBET 2013)

ISSN： 1951-6851

年卷期： 2013 年 26 卷

页码：

收录情况： SCI

摘要： In this paper, we used association recommendation to achieve page recommended for Beijing 12396 agricultural information networks, and improved accuracy, algorithm performance and execution efficiency of the recommendation. The contrast experiments proved that these improvements optimized the effect of recommendation from different aspects. So it can provide users with better agricultural information service.

  • 相关文献

[1]Application Research of Information Recommendation Based on Association Rules in Agricultural Information Network. RuPeng Luan,Qian Zhang,JunFeng Zhang,Feng Yu,Xin Liu. 2013

[2]Application Research of Information Recommendation Based on Association Rules in Agricultural Information Network. RuPeng Luan,Qian Zhang,JunFeng Zhang,Feng Yu,Xin Liu. 2013

[3]Application and Improvement of Intelligent Recommendation for Agricultural Information. Yu, Feng,Zhang, Qian,Luan, RuPeng,Zhang, JunFeng,Liu, Xin. 2013

[4]Application and improvement of intelligent recommendation for Agricultural Information. Yu, Feng,Zhang, Qian,Luan, RuPeng,Zhang, JunFeng. 2013

[5]Application and Improvement of Intelligent Recommendation for Agricultural Information. Feng Yu,Qian Zhang,RuPeng Luan,JunFeng Zhang,Xin Liu. 2013

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