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.
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页码：64 / +
页数：2
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