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.
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.
Randa Kassab
Jean-Charles Lamirel
Emanuel Nauer
Laboratoire LORIA
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