Generation of query-biased concepts using content and structure for query reformulation

被引：0

作者：

Chang, Youjin ^{[1
]}

Wang, Jun ^{[1
]}

Lalmas, Mounia ^{[1
]}

机构：

[1] Univ London, London E1 4NS, England

来源：

NATURAL LANGUAGE AND INFORMATION SYSTEMS, PROCEEDINGS | 2008年 / 5039卷

关键词：

query reformulation; feature extraction; concept generation; structure; relevance feedback;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes an approach for query reformulation based on the generation of appropriate query-biased concepts. Query-biased concepts are generated from retrieved documents using their content and structure. In this paper, we focus on three aspects of the concept generation; the selection of query-biased concepts from retrieved documents, the effect of the structure, and the number of retrieved documents used for generating the concepts.

引用

页码：136 / 141

页数：6

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