Application Of Personalized Recommendation Technology In Agricultural Extension System

The development of agricultural information is a new subject in our country put forward in recent years, in order to meet the market demand of agricultural development,is in our country agriculture mode transformation from traditional type to modern agriculture. However, the development of modern information agriculture requires the establishment and development of the agricultural extension system. Agricultural extension system is further solve the agricultural economy, agricultural users about animal and plant breeding, agricultural meteorology, the national agricultural policy, agricultural technology transfer and other issues of the service promotion system. It can update the agriculture information timely and put all kinds of information user demand to the user, but because the Internet resources are widely distributed, the user will have a lot of information interference in access to information, not timely from the information found in the accurate and consistent with the needs of the information resources, so the need for a technology to solve this problem in the cyber source. Personalized recommendation technology is aimed at the demand characteristics of the user, to meet their demand of information service. This technology collects and analyses the related information of the user, automatic calculation of similarity and user demand information active recommendation. The individual technology applied to agricultural extension system service can optimize the system, reduce the user’s search time, to meet the different form of information transmission.This thesis firstly introduces the research status at home and abroad of personalized recommendation technology,the personalized recommendation algorithms application and personalized recommendation technology in e-commerce, multimedia, social networking sites. The mode and characteristics of domestic and foreign agricultural extension system comparison, aiming at the shortage of our agricultural system, information provided is not balanced, the pertinence is not strong, effectiveness is not obvious,the problem will be personalized recommendation technology is introduced into the agricultural extension system in improving agricultural extension system exists. Using this case America website of Ministry of agriculture makes a concrete analysis of the content and the function of agricultural extension system USA, to access the data to prove its Web site performance. And take the agricultural database sales of agricultural products in recent years shows that the application of personalized recommendation technology brings to the agricultural products sales advantage. Then the cluster analysis of SPSS and the production of scatterplot analysis of the impact of individual technologies American Ministry of agriculture website forum and bring, that the use of this technology can increase the amount of user access, sharing and awareness of user information promotion, buy in agricultural products can improve sales, and from the overall on improving the performance of the system, improve the service of agricultural extension system, better agricultural users to provide accurate, efficient information resources.