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Inferring the user interests using the search history



AutorIn[nen]

Tamine, Lynda
Boughanem, Mohand
Zemirli, Nesrine
In :LWA 2006 : Lernen - Wissensentdeckung - Adaptivität (Workshop 9.11.10.2006 in Hildesheim) / Martin Schaaf, Klaus-Dieter Althoff [Hrsg.]
FGIR 2006 : Workshop Information Retrieval 2006 of the Special Interest Group Information Retrieval (FGIR) : (Hildesheim) : 2006.10.09-11
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Universität Hildesheim, Institut für Informatik, 2006 (Tagungsbeitrag)

 

 

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Abstract/Inhalt

Personalization involves the process of gathering user-specific information during interaction with the user, which is then used to deliver appropriate results to the user’s needs. This paper presents a statistical method that learns the user interests by collecting evidence from his search history. The method focuses on the use of both user relevance point of view on familiar words in order to infer and express his interests and the use of a correlation metric measure in order to update them.



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