文献类型： 会议论文
第一作者： Feng Yu
作者： Feng Yu 1 ; Qian Zhang 1 ; RuPeng Luan 1 ; JunFeng Zhang 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;Agricultural Information Services;Intelligent Recommendation
会议名称： International Conference on Natural Computation
主办单位：
页码： 1077-1081
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.
分类号： TP301-53
- 相关文献
[1]Application and Improvement of Intelligent Recommendation for Agricultural Information. Yu, Feng,Zhang, Qian,Luan, RuPeng,Zhang, JunFeng,Liu, Xin. 2013
[2]Application and improvement of intelligent recommendation for Agricultural Information. Yu, Feng,Zhang, Qian,Luan, RuPeng,Zhang, JunFeng. 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
[4]Application Research of Information Recommendation Based on Association Rules in Agricultural Information Network. RuPeng Luan,Qian Zhang,JunFeng Zhang,Feng Yu,Xin Liu. 2013
[5]Application Research of Information Recommendation Based on Association Rules in Agricultural Information Network. RuPeng Luan,Qian Zhang,JunFeng Zhang,Feng Yu,Xin Liu. 2013
[6]Research on the Agro-technique Information Service Cloud Platform of Orchard Based on the Internet of Things(IOT). Sun, Xiang,Wu, Huarui,Li, Qingxue,Hao, Peng,Sun, Xiang,Wu, Huarui,Li, Qingxue,Hao, Peng,Sun, Xiang,Wu, Huarui,Li, Qingxue,Hao, Peng,Sun, Xiang,Wu, Huarui,Li, Qingxue,Hao, Peng. 2016
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