Static pruning of terms in inverted files

被引：0

作者：

Blanco, Roi ^{[1
]}

Barreiro, Alvaro ^{[1
]}

机构：

[1] Univ A Coruna, Dept Comp Sci, IRLab, La Coruna, Spain

来源：

ADVANCES IN INFORMATION RETRIEVAL | 2007年 / 4425卷

关键词：

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 addresses the problem of identifying collection dependent stop-words in order to reduce the size of inverted files. We present four methods to automatically recognise stop-words, analyse the tradeoff between efficiency and effectiveness, and compare them with a previous pruning approach. The experiments allow us to conclude that in some situations stop-words pruning is competitive with respect to other inverted file reduction techniques.

引用

页码：64 / +

页数：2

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