DocumentCode :
2138802
Title :
Application and improvement of intelligent recommendation for Agricultural Information
Author :
Feng Yu ; Qian Zhang ; RuPeng Luan ; Junfeng Zhang ; Xin Liu
Author_Institution :
Inst. of Agric. Scientech Inf., Beijing Acad. of Agric. & Forestry Sci., Beijing, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
1077
Lastpage :
1081
Abstract :
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.
Keywords :
agriculture; data mining; information networks; recommender systems; Beijing 12396 Agricultural Information Network; agricultural information service; association recommendation; farmer personalization feature; intelligent recommendation; Accuracy; Algorithm design and analysis; Association rules; Collaboration; Heuristic algorithms; Information services; Agricultural Information Services; Apriori Algorithm; Association rules; Intelligent Recommendation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818137
Filename :
6818137
Link To Document :
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