A statistical model of query log generation

被引：0
|
作者：
Dupret, Georges [1 ]
Piwowarski, Benjamin [1 ]
Hurtado, Carlos [1 ]
Mendoza, Marcelo [1 ]
机构：
[1] Univ Chile, Dept Ciencias Computac, Santiago, Chile
来源：
STRING PROCESSING AND INFORMATION RETRIEVAL, PROCEEDINGS | 2006年 / 4209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：
Query logs record past query sessions across a time span. A statistical model is proposed to explain the log generation process. Within a search engine list of results, the model explains the document selection - a user's click - by taking into account both a document position and its popularity. We show that it is possible to quantify this influence and consequently estimate document "un-biased" popularities. Among other applications, this allows to re-order the result list to match more closely user preferences and to use the logs as a feedback to improve search engines.
引用
收藏
页码：217 / 228
页数：12
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