Content based filtering in online social network using inference algorithm

The basic issue in the online social network is to provide the ability for the user to manage the messages post on their wall. Online social networks offer only minimal assistance to avoid unwanted content displayed in the user wall. To enhance the support, a system is designed to filter unwanted messages and allow user to have direct control on the messages posted in the wall. It is achieved using flexible rule based system that allows the user to specify filtering rule for their wall. And, Inference algorithms are used to infer new information from the filtering rules to increase the efficiency of the filtering process. Machine Learning based soft classifier is employed to facilitate the content based filtering.

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