Finding Users of Interest in Micro-blogging Systems

Abstract : Micro-blogging systems have become a prime source of information. However, due to their unprecedented success, they have to face an exponentially increasing amount of user-generated content. As a consequence finding users who publish quality content that matches precise interest is a real challenge for the average user. This paper presents a new recommendation score which takes advantage both of the social graph topology and of the existing contextual information to recommend users to follow according to user interest. Then we introduce a landmark-based algorithm which allows to scale. The experimental results and the user studies that we conducted confirm the relevance of this recommendation score against concurrent approaches as well as the scalability of the landmark-based algorithm.
Type de document :
Communication dans un congrès
International Conference on Extending Database Technology, EDBT, Mar 2016, Bordeaux, France. International Conference on Extending Database Technology, EDBT 2016, 〈10.5441/002/edbt.2016.04〉
Liste complète des métadonnées

Littérature citée [27 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01362686
Contributeur : Camelia Constantin <>
Soumis le : vendredi 9 septembre 2016 - 10:46:21
Dernière modification le : jeudi 13 septembre 2018 - 15:24:07
Document(s) archivé(s) le : samedi 10 décembre 2016 - 12:53:54

Fichier

paper-98.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Camelia Constantin, Ryadh Dahimene, Quentin Grossetti, Cédric Du Mouza. Finding Users of Interest in Micro-blogging Systems. International Conference on Extending Database Technology, EDBT, Mar 2016, Bordeaux, France. International Conference on Extending Database Technology, EDBT 2016, 〈10.5441/002/edbt.2016.04〉. 〈hal-01362686〉

Partager

Métriques

Consultations de la notice

157

Téléchargements de fichiers

65