2015 International Symposium of Computer Application and Information Technology (IsCait 2015)

198 / 1971-01-01 00:00:00

Research On The Recommendation System Of Agricultural Production And Marketing Information Based On Cloud Computing Platform

Production and Market Information Matching; Cloud Computing; Recommended Platform; Matching Algorithm; Docking Model

In China, small farmers decentralized production doesn’t keep pace with the agricultural products market development requirements. Agricultural production and consumption are increasingly out-of-balance in time and space. An agricultural production and market information matching recommendation platform in the cloud computing environment, offered in this paper, can solve those problems. It includes three subsystems: agricultural products market price data acquisition subsystem based on the WEB; agricultural products’ deals arranging subsystem; produce and sale recommendation across in entire network subsystem. The key technologies contain HDFS, Nutch, UIM, recommendation and matching algorithm. The innovations include setting up agricultural production and marketing docking model, exploiting production and marketing information matching algorithm, agricultural production and market information mining methods. The platform is valuable in big data analysis an d data mining for agricultural production and marketing.