Ontology-based User Preferences and Social Search for Spoken Dialogue Systems

Yves Vanrompay 1 Nesrine Ben Mustapha 1 Marie-Aude Aufaure 1
1 MAS - Mathématiques Appliquées aux Systèmes - EA 4037
Abstract : Many current spoken dialogue systems for search are domain-specific and do not take into account the preferences and interests of the user. In order to provide a more personalized answer tailored to the user needs, we propose a spoken dialogue system where user interests are expressed as scores in modular ontologies. This also allows us to cover multiple domains (e.g. searching for restaurant, housing, ...) because each ontology module corresponds to a search domain. This approach allows for a dynamic and evolving representation of user interests. Moreover, a collaborative search of users with similar interests allows to build ad-hoc communities where information can be shared amongst and recommended to users. We propose to use techniques borrowed from formal concept analysis to flexibly and efficiently build these communities.
Type de document :
Communication dans un congrès
7th International workshop on Semantic and Social Media Adaptation and Personalization (SMAP2012), Dec 2012, Luxembourg, Luxembourg
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger
https://hal-ecp.archives-ouvertes.fr/hal-00831724
Contributeur : Yves Vanrompay <>
Soumis le : vendredi 7 juin 2013 - 15:37:47
Dernière modification le : vendredi 29 juin 2018 - 12:10:23
Document(s) archivé(s) le : dimanche 8 septembre 2013 - 04:21:39

Fichier

smap19.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00831724, version 1

Collections

EC-PARIS | ECP-DR | MAS | MICS

Citation

Yves Vanrompay, Nesrine Ben Mustapha, Marie-Aude Aufaure. Ontology-based User Preferences and Social Search for Spoken Dialogue Systems. 7th International workshop on Semantic and Social Media Adaptation and Personalization (SMAP2012), Dec 2012, Luxembourg, Luxembourg. 〈hal-00831724〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

136

Téléchargements de fichiers

509

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD