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Application and Improvement of Intelligent Recommendation for Agricultural Information

文献类型: 外文期刊

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

作者机构: 1.Beijing Acad Agr & Forestry Sci, Inst Agr Scientech Informat, Beijing 100097, Peoples R China

关键词: Association rules;Apriori Algorithm;Agricultural Information Services;Intelligent Recommendation

期刊名称:2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC)

ISSN:

年卷期: 2013 年

页码:

收录情况: SCI

摘要: This paper achieved association recommendation in the Beijing 12396 Agricultural Information Network, and improved the recommendation from three aspects. The contrast experiments proved that the improvement optimized the effect of recommendation. An intelligent recommendation based on farmers' personalization features was also proposed. All these efforts were able to provide better agricultural information service for farmers.

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

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

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