A New Approach to Intelligent Text Filtering Based on Novelty Detection

Randa Kassab 1 Jean-Charles Lamirel 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents an original approach to modelling user's information need in text filtering environment. This approach relies on a specific novelty detection model which allows both accurate learning of user's profile and evaluation of the coherency of user's behaviour during his interaction with the system. Thanks to an online learning algorithm, the novelty detection model is also able to track changes in user's interests over time. The proposed approach has been successfully tested on the Reuters-21578 benchmark. The experimental results prove that this approach significantly outperforms the well-known Rocchio's learning algorithm.
Type de document :
Communication dans un congrès
The 17th Australasian Database Conference - ADC 2006, Jan 2006, Tasmania, Australia, Australia. pp.149-156, 2006
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https://hal.inria.fr/inria-00104540
Contributeur : Randa Kassab <>
Soumis le : vendredi 6 octobre 2006 - 18:16:07
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00104540, version 1

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Randa Kassab, Jean-Charles Lamirel. A New Approach to Intelligent Text Filtering Based on Novelty Detection. The 17th Australasian Database Conference - ADC 2006, Jan 2006, Tasmania, Australia, Australia. pp.149-156, 2006. 〈inria-00104540〉

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