alexa Abstract | Context Aware Message Filtering in OSN user Walls
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article Open Access


Unwanted Messages which are sending and received on the user private space are filtered by allowing OSN users to have a direct control on the messages posted on their walls through Filtering Rules and Context Based Filtering Mechanism. A flexible rule-based system, that allows users to customize the filtering criteria to be applied to their walls. Machine Learning based soft classifier uses content based filtering method to filter the unwanted messages from the user walls. We have a system with a more sophisticated approach to decide when a user should be inserted into a BlackList

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Author(s): Dactchayani Sukumar, Maniraj .S.P

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