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.%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.
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