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基于主观Bayes方法对Web使用挖掘的研究 被引量:5

Research on Web Usage Mining by Subjective Bayesian Approach
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摘要 为了更加合理地组织Web服务器的结构,使用户能及时快速地浏览到自己所需的网页信息,借鉴专家系统的不确定性推理方法——主观Bayes方法,提出了网页链接的可信度思想,并给出了网页链接的可信度因子模型。该模型可以定期、定时地根据Internet用户浏览的Web日志记录,动态地改善Web服务器的结构,从而实现基于用户浏览兴趣的网页链接结构的改进。 In order to reasonably optimize structure of website and enable Intemet users to browse their interested Web page quickly in time, according to the idea of subjective Bayesian approach used in uncertainty reasoning in expert system fields, this paper presents the thought of Web link credibility, and gives the Web link estimation factor model, which may periodically and dynanfically improve the structure of the Web server according to the Web log of Internet users browsed the Web pages, implements the improvement of Web link structure based on users' browse interests.
出处 《计算机技术与发展》 2007年第6期56-59,共4页 Computer Technology and Development
基金 安徽省自然科学基金项目(050420204)
关键词 可信度 主观BAYES方法 WEB挖掘 WEB使用挖掘 credibility subjective Bayesian approach Web mining Web usage mining
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