Abstract
At present Online Social Networks (OSN) usually not provide much support to the user for message filtering. To rectify this issue, a work is proposed which allows OSN users to have a direct control on the messages posted on their walls. Here the users can control the messages posted on their own private space to avoid unwanted messages displayed and they can also block their friend from friends list. A new Global Vector Space Model (GVSM) is used here in text representation and pattern search based classifier is introduced for these OSNs which automatically labels messages in support of content-based filtering. The evaluation result shows the best performance of this study for message filtering in OSN, to customize the user walls and their profiles. Efficiency of this study is proved by the results of accuracy and elapsed time interval.
Highlights
Online Social Network is most interesting and popular interactive medium to communicate, share and distribute information (Social Media, 2010)
The proposed system is constructed as follows: Initially the message is given to Content-Based Messages Filtering (CBMF) and the Short Text Classifier (STC) modules
The first component exploits the message categorization provided by the STC module to enforce the Filtering Rules (FR) s specified by the user
Summary
Online Social Network is most interesting and popular interactive medium to communicate, share and distribute information (Social Media, 2010). Information’s like several types of content, including free text, image, audio and video information daily and along with Facebook information average user creates 90 pieces of substance every month, while more than 30 billion quantity of substance are distributed every month (Wikipedia) This creates the need for secure network and there is lot of chance to hack the information. Information filtering is used in common wall to customize their wall and to provide users the capability to automatically control the messages written on their individual walls, by filtering out unwanted communication. This is not normally present in OSN network.
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