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

机译:基于贝叶斯的农业物流信息技术产品信息搜索分类系统

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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.
机译:为了满足用户搜索农产品物流信息技术的需求,介绍了一种农产品物流信息技术的搜索分类系统。首先,在分析农产品物流信息技术特点的基础上,建立了田间概念词词典。其次,该系统使用元搜索引擎根据关键字集合在Internet上搜索相关页面,然后使用Web挖掘来分析和过滤相关页面。最后,根据不同用户的需求,通过网页文本分类对农产品物流信息技术进行分类。结果表明,该系统可以有效,准确地搜索所需信息,并进行分类,效果良好。

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