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1. A SYSTEM TO FILTER UNWANTED MESSAGES FROM OSN USER WALLS
ABSTRACT:
One fundamental issue in today's Online Social Networks (OSNs) is to give users the ability to
control the messages posted on their own private space to avoid that unwanted content is
displayed. Up to now, OSNs provide little support to this requirement.
In this paper, we propose a system allowing 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 users to
customize the filtering criteria to be applied to their walls, and a Machine Learning-based soft
classifier automatically labeling messages in support of content-based filtering.
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