Novelty Detection for Modeling User's Profile
Identifieur interne : 006071 ( Main/Exploration ); précédent : 006070; suivant : 006072Novelty Detection for Modeling User's Profile
Auteurs : Randa Kassab ; Jean-Charles Lamirel [France] ; Emmanuel NauerSource :
Abstract
This paper presents an original mechanism for modeling user profile based on a novelty detector filter model. This model enables to learn possibly evolving user need by means of positive and negative user's relevance feedback.
Affiliations:
- France
- Grand Est, Lorraine (région)
- Nancy
- Centre national de la recherche scientifique, Cortex (Loria), Institut national de recherche en informatique et en automatique, Laboratoire lorrain de recherche en informatique et ses applications, Université de Lorraine
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Le document en format XML
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<front><div type="abstract" xml:lang="en" wicri:score="401">This paper presents an original mechanism for modeling user profile based on a novelty detector filter model. This model enables to learn possibly evolving user need by means of positive and negative user's relevance feedback.</div>
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