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基于Web内容挖掘的论坛发贴分类推荐技术
引用本文:丁智斌,杜念. 基于Web内容挖掘的论坛发贴分类推荐技术[J]. 华北科技学院学报, 2011, 8(1): 54-59
作者姓名:丁智斌  杜念
作者单位:1. 华北科技学院基础部,北京东燕郊,101601
2. 华北电力大学控制与计算机工程学院,河北保定,071003
摘    要:随着Internet基础结构的不断扩大和其所含信息的持续增长,Internet用户感觉越来越容易在WWW服务中"资源迷向".目前提高用户使用效率的方法有页面预取技术、站点动态重构技术和Web个性化推荐技术等.因为网站的页面内容才是用户真正感兴趣的,本文应用了一种基于Web内容挖掘的文本分类技术来实现论坛中贴子的分类推荐...

关 键 词:Web内容挖掘  Web分类推荐  文本分类

Posts Classification Recommendation Techology in Forum Based on Web Content Mining
DING Zhibin,DU Nian. Posts Classification Recommendation Techology in Forum Based on Web Content Mining[J]. Journal of North China Institute of Science and Technology, 2011, 8(1): 54-59
Authors:DING Zhibin  DU Nian
Affiliation:1.Department of Basic Courses,North China Institute of Science and Technology,Yanjiao Beijing-East 101601,2.School of Control and Computer Engineering,North China Electric Power university,Baoding Hebei 071003)
Abstract:As the basic construction of the Internet constantly expands and the information it contains continuously increases,internet users find being apt to get lost in resource searching in WWW service.At present the ways in which the efficiency of user using can be improved are page prefetching,dynamic website reconstruction and web personalized recommendation etc.Because content of the page is actually the users'interest,in this paper we used a web-based content mining services to achieve the recommendation of classification of posts in the Forum.Through application of the recommendation to the North China Institute of Technology Forum Website,we can recommend to the user with the appropriate classification for the new post according to the departed classification in the site,and update the dynamic optimization with the Forum recommended result.
Keywords:web content mining  web recommendation of classification  text classification
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