IMPROVISED TECHNIQUE TO RESTRICT UNWANTED CONTENTS FROM SOCIAL NETWORKING PLATFORMS ON USER'S WALL

Abstract

One of the fundamental challenges faced by Social Networking Platforms (SNP) is the ability to restrict messages posting, in order to avoid unwanted messages from getting displayed. Another challenge is give users the ability to control the contents posted on their own private space to. Today's Social Networking Platforms provide very little when it comes to controlling of contents. In this paper, we propose a method to be implementing in SNP allowing it's users to directly organize the messages posted on their walls. This is achieved through a flexible rule-based system, that allows users to modify the filtering principles and standards to be applied to their walls, and Machine Learning based soft classifier mechanically labels messages in support of content-based filtering.