The Effect of Query Length on Normalisation in Information Retrieval

被引：0
|
作者：
Cummins, Ronan [1 ]
O'Riordan, Colm [2 ]
机构：
[1] Univ Glasgow, Dept Comp Sci, Glasgow G12 8QQ, Lanark, Scotland
[2] NUI Galway, Dept Informat Technol, Galway, Ireland
来源：
ARTIFICIAL INTELLIGENCE AND COGNITIVE SCIENCE | 2010年 / 6206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：
Document length normalisation is known to be a difficult problem in IR, as tuning is often needed to overcome the collection dependence problem known to affect many normalisation schemes. Furthermore, it has been shown in various studies that the most optimal level of normalisation to apply is correlated with query length. In this paper, we confirm this correlation and present experiments which investigates and explains the effect of query length on normalisation.
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页码：26 / +
页数：2
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