A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology

Abstract : In order to meet the needs of users who search agricultural products logistics information technology, this paper introduces a search and classification system of agricultural products logistics information technology search and classification. Firstly, the dictionary of field concept word was built based on analyzing the characteristics of agricultural products logistics information technology. Secondly, the system used meta-search engine to search related pages on the Internet based on keywords collections, and then used Web mining to analyze and filter the relevant pages. Finally, classify the agricultural products logistics information technology by web text classification according to different users’ needs. The results showed that the system could efficiently and accurately search the required information, and classification with good results.
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Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.437-444, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_49〉
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Dandan Li, Daoliang Li, Yingyi Chen, Li Li, Xiangyang Qin, et al.. A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-368 (Part I), pp.437-444, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27281-3_49〉. 〈hal-01351844〉

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