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A statistical model of query log generation

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2006
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Dupret, Georges
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A statistical model of query log generation
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Author
  • Dupret, Georges;
  • Piwowarski, Benjamin;
  • Hurtado, Carlos;
  • Mendoza, Marcelo;
Abstract
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.
Identifier
URI: https://repositorio.uchile.cl/handle/2250/124837
ISSN: 0302-9743
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STRING PROCESSING AND INFORMATION RETRIEVAL, PROCEEDINGS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 4209 Pages: 217-228 Published: 2006
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