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基于可信度的Web信息搜索主动服务研究
引用本文:肖婷,陈红英. 基于可信度的Web信息搜索主动服务研究[J]. 计算机与现代化, 2011, 0(5): 110-113,116. DOI: 10.3969/j.issn.1006-2475.2011.05.031
作者姓名:肖婷  陈红英
作者单位:华南师范大学计算机学院,广东,广州,510631
基金项目:广东省自然科学基金资助项目(9451063101002238)
摘    要:现有的Web信息搜索方式是基于关键词匹配来进行的,其准确性和可靠性有限。本文以用户需求为中心,收集用户偏好,应用后台软件采用C4.5决策树算法构建文件过滤规则,结合基于主观Bayes方法的不确定性推理为过滤规则追加可信度支持,并用模糊规则来描述,确保Web信息搜索的查全率和查准率全面提升。

关 键 词:决策树  主观Bayes  Web信息搜索  可信度

Study of Active Web Information Search Based on Credibility
XIAO Ting,CHEN Hong-ying. Study of Active Web Information Search Based on Credibility[J]. Computer and Modernization, 2011, 0(5): 110-113,116. DOI: 10.3969/j.issn.1006-2475.2011.05.031
Authors:XIAO Ting  CHEN Hong-ying
Affiliation:XIAO Ting,CHEN Hong-ying(College of Computer,South China Normal University,Guangzhou 510631,China)
Abstract:Existing Web information search method is carried out based on keyword matching,the accuracy and reliability is limited.This paper focuses on user's needs,uses background software building file filtering rule by the application of decision tree C4.5 algorithm.The file filtering rule combines with uncertainty reasoning way based on subjective Bayes for the additional credibility support,describes as the fuzzy rule to improve the recall and precision of Web information search.
Keywords:decision tree  subjective Bayes  Web information search  credibility  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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