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Inferring the user interests using the search history

  • 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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Metadaten
Author:Lynda Tamine, Mohand Boughanem, Nesrine Zemirli
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-699
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2011/05/06
Contributing Corporation:IRIT-SIG Toulouse (France)
Release Date:2011/05/06
Source:LWA 2006: Lernen - Wissensentdeckung - Adaptivität, Hildesheim, 9. - 11. Oktober 2006
PPN:Link zum Katalog
Contributor:Althoff, Klaus-Dieter
Institutes:Fachbereich IV / Informatik
DDC classes:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft / 004 Informatik
Licence (German):License LogoDeutsches Urheberrecht