CEA: A Content-Based Approach of Shift of Focus Detection in Hypermedia Navigation

Abstract : Adaptive Navigation systems (ANS) are intended to support user navigation in a hypermedia system. In the context of the Web, ANS suffer from the difficulty of finding relevant criteria to represent the users' current information needs and their frequent shifts of focus. This paper addresses the issue of user's information needs modeling. The proposed approach is to find relevant clues about the user's current interests from the content of the accessed pages. First, the concept of clue about user's information needs is formalized. Secondly, a clue extraction algorithm in a stream of accessed pages is presented. Then, VISS, a visualization tool intended to display user's different search activities with respect to clues found in a stream of accessed pages is put forward. Finally, this paper discusses the result of a Web navigation survey intended to characterize user's shifts of focus.
Type de document :
Communication dans un congrès
International Conference on Hypertext, Hypermedia, Products, Tools and Methods, H2PTM'03, Sep 2003, Paris, France. 2003
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01072206
Contributeur : Maria Rifqi <>
Soumis le : mardi 7 octobre 2014 - 17:07:54
Dernière modification le : jeudi 22 novembre 2018 - 01:21:46
Document(s) archivé(s) le : jeudi 8 janvier 2015 - 11:11:40

Fichier

hypertext2003-1.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : hal-01072206, version 1

Collections

Citation

Jean-Yves Delort, Bernadette Bouchon-Meunier, Maria Rifqi. CEA: A Content-Based Approach of Shift of Focus Detection in Hypermedia Navigation. International Conference on Hypertext, Hypermedia, Products, Tools and Methods, H2PTM'03, Sep 2003, Paris, France. 2003. 〈hal-01072206〉

Partager

Métriques

Consultations de la notice

101

Téléchargements de fichiers

44