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

文献类型： 会议论文

第一作者： RuPeng Luan

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

作者机构： 1.Beijing Academy of Agriculture and Forestry Sciences, Institute of Agricultural Scientech Information

关键词： Association rules;Apriori algorithm;Web data mining;Information recommendation

会议名称： International Conference on Information, Business and Education Technology

主办单位：

页码： 303-307

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.

分类号： G20-53

  • 相关文献

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