A statistical model of query log generation

Author	dc.contributor.author	Dupret, Georges
Author	dc.contributor.author	Piwowarski, Benjamin	es_CL
Author	dc.contributor.author	Hurtado, Carlos	es_CL
Author	dc.contributor.author	Mendoza, Marcelo	es_CL
Admission date	dc.date.accessioned	2009-03-30T17:59:58Z
Available date	dc.date.available	2009-03-30T17:59:58Z
Publication date	dc.date.issued	2006
Cita de ítem	dc.identifier.citation	STRING PROCESSING AND INFORMATION RETRIEVAL, PROCEEDINGS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 4209 Pages: 217-228 Published: 2006	en
Identifier	dc.identifier.issn	0302-9743
Identifier	dc.identifier.uri	https://repositorio.uchile.cl/handle/2250/124837
Abstract	dc.description.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.	en
Lenguage	dc.language.iso	en	en
Publisher	dc.publisher	SPRINGER-VERLAG BERLIN	en
Título	dc.title	A statistical model of query log generation	en
Document type	dc.type	Artículo de revista