The thesis firstly takes advantage of open source search engine (Nutch) to build the market space data warehouse and data sources, collecting agricultural products market information from the whole internet, on the basis of analyzing the existing agricultural production and market information matching system, then it puts forward the interest-model and combination matching algorithm more suitable for users in agricultural fields. At the same time, this article improves the existing matching system in the cloud computing background under the support of Hadoop distributed platform to solve the bottleneck problems such as the expanding ability of storage space and the efficiency of analysis and calculation confronted by the agricultural products market information matching system. Finally, the system makes a comparative analysis of recall ratio and precision ratio to prove its effectiveness and practical range. The aim of this paper is to make the agricultural production and market information matching system more suitable for Chinese agricultural production and marketing information system which supports the matching management decision of agricultural production circulation consumption and provides beneficial reference for the application of cloud computing technology.
Design and Implementation of Agricultural Production and Market Information Matching Recommendation System in the Cloud Environment
