Paper Title
Filter Unwanted Messages On Osn User Wall

Social Network Online Social Network is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. To fill the gap, 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 classifier automatically labelling messages in support of content-based filtering. Keywords-Online Social Network, Content- based filtering, Machine learning, unwanted content.