To Avoid Unwanted Messages from User Wall: Content Based Filtering Approach

This paper proposes a system that implements a content-based message filtering service for Online Social Networks (OSNs). Our system allows OSN users to have a direct control on the messages that are posted on their walls. This is done through a rule-based system, that allows a user to customize the filtering criteria, which is to be applied to their walls, and a Machine Learning based classifier which can automatically produce membership labels for the support of our content-based filtering mechanism.