Research on information searching based on BNR

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (13): 137-140.

• 数据库、信号与信息处理 • Previous Articles Next Articles

Research on information searching based on BNR

YANG Duan-li^1,2,HUANG Yong²,WANG Ke-jian²,YANG Su-lin²,LI Yan²

1.Institute of Mathematics and Computer，Hebei University，Baoding，Hebei 071002，China
2.College of Information Science and Technology，Agricultural University of Hebei，Baoding，Hebei 071001，China

Received:2007-10-10 Revised:2008-01-11 Online:2008-05-01 Published:2008-05-01
Contact: YANG Duan-li

基于聚类BNR扩展模型的信息检索研究

杨断利^1,2,黄勇²,王克俭²,杨素林²,李岩²

1.河北大学数学与计算机学院，河北保定 071002
2.河北农业大学信息科学与技术学院，河北保定 071001

通讯作者: 杨断利

Abstract

Abstract: This paper proposes a new four models that is made to expand BNR by the cluster technology，and this model describes simultaneously close and the similar relations between the terms and the documents.Experiment results show that the rate of veracity and integrity of this approach are obviously improved than simple RNR and the expansion BNRM model in the information searching system.

Key words: BNR, expansion model, clustering approach, information searching, document clustering

摘要： 使用聚类技术对BNR进行扩展，得到一个新的4层模型，该模型同时使用了术语间和文档间的相近和相似关系，将此扩展模型和简单的RNR、扩展的BNRM模型比较，实验证实信息检索系统的检准率和检全率都有所提高。

关键词: BNR, 扩展模型, 聚类技术, 信息检索, 文档聚类

YANG Duan-li^1,2,HUANG Yong²,WANG Ke-jian²,YANG Su-lin²,LI Yan². Research on information searching based on BNR[J]. Computer Engineering and Applications, 2008, 44(13): 137-140.

杨断利^1,2,黄勇²,王克俭²,杨素林²,李岩². 基于聚类BNR扩展模型的信息检索研究[J]. 计算机工程与应用, 2008, 44(13): 137-140.

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Research on information searching based on BNR

基于聚类BNR扩展模型的信息检索研究

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