Content-based filtering in on-line social networks

Authors:
Marco Vanetti;Elisabetta Binaghi;Barbara Carminati;Moreno Carullo;Elena Ferrari
Affiliations:
Department of Computer Science and Communication, University of Insubria, Varese, Italy;Department of Computer Science and Communication, University of Insubria, Varese, Italy;Department of Computer Science and Communication, University of Insubria, Varese, Italy;Department of Computer Science and Communication, University of Insubria, Varese, Italy;Department of Computer Science and Communication, University of Insubria, Varese, Italy
Venue:
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Year:
2010

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Abstract

This paper proposes a system enforcing content-based message filtering for On-line Social Networks (OSNs). The system allows OSN users to have a direct control on the messages posted on their walls. This is achieved through a flexible rule-based system, that allows a user to customize the filtering criteria to be applied to their walls, and a Machine Learning based soft classifier automatically labelling messages in support of content-based filtering.