Technique For Content-Based Filtering On Unwanted Messages Posted On OSN User Walls
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 11
Abstract
Every day constant communications entail the swap of several types of content as well as free text, image, audio, and video data. Online Social Networks (OSNs) are today one of the most well-liked interactive medium to communicate, share and distribute a substantial amount of human life information. Conversely the aim of the majority of these proposals is mainly to offer users a classification mechanism to avoid they are besieged by useless data. In OSNs, information filtering can also be used for a different more sensitive purpose. This is due to the fact that in OSNs there is the opportunity of posting or commenting other posts on particular public/private areas called in general walls. The system provides a powerful rule layer exploiting a supple language to identify Filtering Rules (FRs) by which users can state what contents should not be displayed on their walls. FRs can support a multiplicity of different filtering criteria that can be combined and customized according to the user needs. More accurately FRs exploit user profiles, user relationships as well as the output of the ML classification process to state the filtering criteria to be compulsory. In addition the system provides the support for user-defined BlackLists (BLs) that is lists of users that are temporarily prevented to post any kind of messages on a user wall.
Authors and Affiliations
T. Radha Rukmini, N. Rajesh Babu
Keywords
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