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Título: A statistical model of query log generation
Autores: Dupret, Georges
Piwowarski, Benjamin
Hurtado, Carlos
Mendoza, Marcelo
Fecha: 2009-03-30
2009-03-30
2006
Publicador: SPRINGER-VERLAG BERLIN
Fuente: Ver documento
Tipo: Artículo de Revista
Tema:
Descripción: 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.
Idioma: Inglés
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