Titre :

A Markovian Approach for Web User Profiling and Clustering

Auteur(s) :

Hafri, Younes [Auteur]
Institut National de l'Audiovisuel [INA]
Djeraba, Chaabane [Auteur]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancée - UAR 3380 [IRCICA]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Stanchev, Peter [Auteur]
Bachimont, Bruno [Auteur]
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Institut National de l'Audiovisuel [INA]

Titre de la manifestation scientifique :

Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, {PAKDD} 2003

Ville :

Seoul

Pays :

Corée du Sud

Date de début de la manifestation scientifique :

2003-04-30

Éditeur :

Springer

Date de publication :

2003

Discipline(s) HAL :

Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Base de données [cs.DB]
Informatique [cs]/Multimédia [cs.MM]
Informatique [cs]/Recherche d'information [cs.IR]
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

Résumé en anglais : [en]

The objective of this paper is to propose an approach that extracts automatically web user profiling based on user navigation paths. Web user profiling consists of the best representative behaviors, represented by Markov ...
Lire la suite >The objective of this paper is to propose an approach that extracts automatically web user profiling based on user navigation paths. Web user profiling consists of the best representative behaviors, represented by Markov models (MM). To achieve this objective, our approach is articulated around three notions: (1) Applying probabilistic exploration using Markov models. (2) Avoiding the problem of Markov model high-dimensionality and sparsity by clustering web documents, based on their content, before applying the Markov analysis. (3) Clustering Markov models, and extraction of their gravity centers. On the basis of these three notions, the approach makes possible the prediction of future states to be visited in k steps and navigation sessions monitoring, based on both content and traversed paths. The original application of the approach concerns the exploitation of multimedia archives in the perspective of the Copyright Deposit that preserves French’s WWW documents. The approach may be the exploitation tool for any web site.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL