A Semantic-based Recommender System Using A Simulated Annealing Algorithm

Abstract : A recommender system based on semantic web technologies and on an adaptive hypermedia architecture is shown in this paper. The system uses a stochastic algorithm to provide recommendations to users. The paper presents the system architecture based on the semantic Web technologies and explains a simulated annealing algorithm performing the recommendations. A mobile application for the tourism domain proving the feasibility of this system is described at the end of the paper, some benchmarks are presented. In this application, the recommendations are defined as combinations of tourism products, which are linked to each other. The paper is mainly focused on the architecture and the recommendation process of the system.
Type de document :
Communication dans un congrès
SEMAPRO 2010, The Fourth International Conference on Advances in Semantic Processing, Oct 2010, Florence, Italy. pp.ISBN: 978-1-61208-104-5, 2010
Liste complète des métadonnées


https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00612545
Contributeur : Romain Picot-Clemente <>
Soumis le : vendredi 29 juillet 2011 - 11:34:41
Dernière modification le : mercredi 9 novembre 2011 - 15:19:25
Document(s) archivé(s) le : lundi 7 novembre 2011 - 12:22:25

Fichier

Article_Semapro_50108_updated....
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00612545, version 1

Collections

Citation

Romain Picot-Clemente, Christophe Cruz, Christophe Nicolle. A Semantic-based Recommender System Using A Simulated Annealing Algorithm. SEMAPRO 2010, The Fourth International Conference on Advances in Semantic Processing, Oct 2010, Florence, Italy. pp.ISBN: 978-1-61208-104-5, 2010. <hal-00612545>

Partager

Métriques

Consultations de
la notice

327

Téléchargements du document

222