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高校校园网用户兴趣挖掘系统的设计与实现
引用本文:田京波.高校校园网用户兴趣挖掘系统的设计与实现[J].台州学院学报,2009,31(6):26-31.
作者姓名:田京波
作者单位:浙江工业大学,信息与工程学院,浙江,杭州,310023;台州学院,信息技术中心,浙江,临海,317000
摘    要:要充分发挥网络在高等教育中的作用,了解高校用户兴趣分布、挖掘用户兴趣爱好是提出符合客观实际管理方法、教学方法的前提条件。提出一种基于WEB文本分类实现高校用户兴趣挖掘的方法,其主要特点是面向全校范围内用户、用户所有WEB站点访问记录的兴趣挖掘。重点探讨了校园网用户身份识别、WEB文本分类和用户兴趣挖掘。

关 键 词:WEB挖掘  用户兴趣  正文抽取  中文分词  支持向量机

Design and Realization of Interest Mining System for University Campus Network User
TIAN Jing-bo.Design and Realization of Interest Mining System for University Campus Network User[J].Journal of Taizhou University,2009,31(6):26-31.
Authors:TIAN Jing-bo
Institution:TIAN Jing-bo (1. College of Infonuation Engineering,ZheJiang University of Technology,Hanzhou,310023 2. IT Center of Taizhou Uniersity, Linhai China 317000)
Abstract:Based on web text mining puts forward an interest mining system for university campus network user. Firstly, it introduces the system Structures. Secondly, it puts emphasis on the introduction of the key techniques of this system. Finally, it introduces the practical effectiveness of this system, The experiment indicates that this method can do a good job on the mining of the distribution of the interest concerning university campus network users and has important reference value for university reforms and individual commercial services.
Keywords:web text mining  user interest  text extraction Chinese parse  SVM
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