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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