A Rule Based System to Refine User Walls

Abstract

Abstract—The core problem in today’s Online Social Networks (OSNs) is to allocate users the authority to manage the messages posted on their private space to avert that unwanted content. The unwanted data may contains political, vulgar, non-neural etc.message filtering systems are designed forunstructured or semi-structured data, as opposed to database applications, which use very structured data.In this paper we proposed a System with the flexible rules to filter the unwanted messages posted on user wall.After passing threshold value the informing message is send to that user. This allows users to customize the refining criteria to be applied to their walls, and a Machine Learning-based classifier automatically classifies the messages and labelling messages in support of content-based filtering.
DOI: 10.17762/ijritcc2321-8169.150229