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基于关联规则挖掘的查询扩展模型研究
引用本文:黄名选,陈燕红,张师超.基于关联规则挖掘的查询扩展模型研究[J].现代图书情报技术,2007,2(10):47-51.
作者姓名:黄名选  陈燕红  张师超
作者单位:1. 广西教育学院数学与计算机系,南宁,530023
2. 广西大学物理学院,南宁,530004
3. 广西师范大学计算机学院,桂林,541004;悉尼科技大学信息技术学院,澳大利亚
摘    要:为了将关联规则挖掘技术更好地应用于信息检索查询扩展,通过对基于关联规则挖掘的查询扩展模型的深入研究,归纳出4类共13种查询扩展模型,理论分析和实验比较各个查询扩展模型的检索性能,试图发现一些优秀的扩展模型。

关 键 词:关联规则  扩展模型  信息检索
收稿时间:2007-08-13
修稿时间:2007-08-13

Study on Query Expansion Model Based on Association Rules Mining
Huang Mingxuan,Chen Yanhong,Zhang Shichao.Study on Query Expansion Model Based on Association Rules Mining[J].New Technology of Library and Information Service,2007,2(10):47-51.
Authors:Huang Mingxuan  Chen Yanhong  Zhang Shichao
Institution:1.Department of Math and Computer Science, Guangxi College of Education, Nanning 530023, China; 2. College of Physical Science, Guangxi University, Nanning 530004 , China; 3 . College of Computer Science, Guangxi Normal University, Guilin 541004, China; 4. Faculty of Information Technology, University of Technology, Sydney, Australia
Abstract:In order to better apply association rule mining technique to query expansion and find out some better query expansion models,4 categories of query expansion models with 13 varieties are given based on item-all-weighted association rule mining.Comparison of retrieval performances are made through experiments.Some better query expansion models are discovered.
Keywords:Query expansion Association rules Expansion model Information retrieval
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