计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (9): 134-136.

• 数据库、信号与信息处理 • 上一篇    下一篇

基于关联规则的搜索引擎方法

姚全珠,彭 程,宋志理,李 薇   

  1. 西安理工大学 计算机学院,西安 710048
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-03-21 发布日期:2011-03-21

Search engine method based on association rule

YAO Quanzhu,PENG Cheng,SONG Zhili,LI Wei   

  1. College of Computer Science,Xi’an University of Technology,Xi’an 710048,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-03-21 Published:2011-03-21

摘要: 针对传统的搜索引擎关键词提取算法在实现检索时存在的局限性,在本体推理的基础上,运用基于Apriori算法的关联规则推理过滤,实现对无用词项的过滤和有用信息的提取。实验表明,基于关联规则的Apriori算法,在无用词项过滤和有用信息提取方面,与传统的搜索引擎关键词提取算法相比,具有较好的查全率和效率。

关键词: 关联规则, Apriori 算法, 搜索引擎

Abstract: Because so many limitations exist in the traditional search engine keywords extraction algorithm at the time of the retrieval,based on ontology reasoning,using the association rule with the Apriori-algorithm,filtration of the useless terms and the extraction of useful information are realized.The experiments show that the Apriori-algorithm can improve information retrieval more accurately than that of the traditional search engine keywords extraction algorithm.

Key words: association rule, Apriori-algorithm, search engine