Mining web documents to find additional query terms using fuzzy association rules

被引：26

作者：

Martín-Bautista, MJ ^{[1
]}

Sánchez, D ^{[1
]}

Chamorro-Martínez, J ^{[1
]}

Serrano, JM ^{[1
]}

Vila, MA ^{[1
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, Granada 18071, Spain

来源：

FUZZY SETS AND SYSTEMS | 2004年 / 148卷 / 01期

关键词：

association rules; fuzzy logic; information retrieval; query refinement;

D O I：

10.1016/j.fss.2004.03.007

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we present an application of association rules to query refinement. Starting from an initial set of documents retrieved from the web, text transactions are constructed and association rules are extracted. A fuzzy extension of text transactions and association rules is employed, where the presence of the terms (items) in the documents (transactions) is determined with a value between 0 and 1. The obtained rules offer the user additional terms to be added to the query with the purpose of guiding the search and improving the retrieval. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：85 / 104

页数：20

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