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Conference papers

Finding Users of Interest in Micro-blogging Systems

Camelia Constantin 1 Ryadh Dahimene 2 Quentin Grossetti 2 Cédric Du Mouza 2
1 BD - Bases de Données
LIP6 - Laboratoire d'Informatique de Paris 6
2 CEDRIC - ISID - CEDRIC. Ingénierie des Systèmes d'Information et de Décision
CEDRIC - Centre d'études et de recherche en informatique et communications
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.
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Submitted on : Friday, September 9, 2016 - 10:46:21 AM
Last modification on : Friday, January 8, 2021 - 5:32:09 PM
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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. ⟨10.5441/002/edbt.2016.04⟩. ⟨hal-01362686⟩



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