基于完全加权关联规则的局部反馈查询扩展

计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (7): 190-192.

基于完全加权关联规则的局部反馈查询扩展

黄名选¹,严小卫^2,3,张师超^2,3

1.广西教育学院数学与计算机科学系，南宁 530023
2.广西师范大学计算机学院，广西桂林 541004
3.悉尼科技大学信息技术学院，澳大利亚悉尼

收稿日期:2007-06-22 修回日期:2007-08-16 出版日期:2008-03-01 发布日期:2008-03-01
通讯作者: 黄名选

Query expansion of local feedback Based on item-all-weighted association rules

HUANG Ming-xuan^1,2,YAN Xiao-wei^2,3,ZHANG Shi-chao^2,3

1.Department of Math. and Computer Science，Guangxi College of Education，Nanning 530023，China
2.College of Computer Science，Guangxi Normal University，Guilin，Guangxi 541004，China
3.Faculty of Information Technology，University of Technology，Sydney，Australia

Received:2007-06-22 Revised:2007-08-16 Online:2008-03-01 Published:2008-03-01
Contact: HUANG Ming-xuan

摘要/Abstract

摘要： 针对现有查询扩展存在的缺陷，将完全加权关联规则挖掘技术应用于查询扩展，提出新的查询扩展模型和扩展词权重的计算方法；提出基于完全加权关联规则挖掘的局部反馈查询扩展算法。该算法能自动从初检的前列文档中挖掘与原查询相关的完全加权关联规则，从规则中提取与原查询相关的扩展词，实现查询扩展。实验结果表明，与现有查询扩展算法比较，该查询扩展算法的检索性能得到很好的改善和提高。

Abstract: A novel query expansion algorithm of local feedback is proposed based on item-all-weighted association rule mining，which combines the association rules mining technique with the query expansion.At the same time，a new computing method for weights of expansion terms is given.It makes the weighted value of an expansion term more reasonable.Our algorithm can automatically mine those all-weighted association rules related to original query in the top-ranked retrieved documents，to construct an association rules-based database，and extract expansion terms related to original query from the database for query expansion.Experimental results show that our method is better than traditional ones in average precision.

黄名选¹,严小卫^2,3,张师超^2,3. 基于完全加权关联规则的局部反馈查询扩展[J]. 计算机工程与应用, 2008, 44(7): 190-192.

HUANG Ming-xuan^1,2,YAN Xiao-wei^2,3,ZHANG Shi-chao^2,3. Query expansion of local feedback Based on item-all-weighted association rules[J]. Computer Engineering and Applications, 2008, 44(7): 190-192.