Filter Unwanted Message from Osn User Wall System

Abstract

One essential topic in today On-line Social Networks (OSNs) is to award users the capability to manage the messages posted on their own private space to stay away from that unwanted satisfied is displayed. Up to now OSNs provide modest support to this requirement. To fill the space, in this paper, we suggest a system allowing OSN users to have a express control on the messages posted on their walls. This is achieved from side to side a flexible rule-based system, that allows users to modify the filtering criteria to be applied to their walls, and a Machine Learning based soft classifier by design labeling messages in support of content-based filtering.