Similitude: Decentralised Adaptation in Large-Scale P2P Recommenders

Abstract : Decentralised recommenders have been proposed to deliver privacy-preserving, personalised and highly scalable on-line recommendations. Current implementations tend, however, to rely on a hard-wired similarity metric that cannot adapt. This constitutes a strong limitation in the face of evolving needs. In this paper, we propose a framework to develop dynamically adaptive decentralised recommendation systems. Our proposal supports a decentralised form of adaptation, in which individual nodes can independently select, and update their own recommendation algorithm, while still collectively contributing to the overall system's mission.
Type de document :
Communication dans un congrès
The 15th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2015, Grenoble, France. Distributed Applications and Interoperable Systems, Volume 9038 of the series Lecture Notes in Computer Science pp 51-65, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-19129-4_5〉
Liste complète des métadonnées

Littérature citée [28 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01138365
Contributeur : Pierre-Louis Roman <>
Soumis le : vendredi 5 juin 2015 - 15:00:25
Dernière modification le : mardi 16 janvier 2018 - 15:54:13
Document(s) archivé(s) le : mardi 25 avril 2017 - 03:20:54

Fichier

similitude_dais2015.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Davide Frey, Anne-Marie Kermarrec, Christopher Maddock, Andreas Mauthe, Pierre-Louis Roman, et al.. Similitude: Decentralised Adaptation in Large-Scale P2P Recommenders. The 15th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2015, Grenoble, France. Distributed Applications and Interoperable Systems, Volume 9038 of the series Lecture Notes in Computer Science pp 51-65, Distributed Applications and Interoperable Systems. 〈10.1007/978-3-319-19129-4_5〉. 〈hal-01138365v2〉

Partager

Métriques

Consultations de la notice

1407

Téléchargements de fichiers

162