Protecting Social Network Users from Spam Messages Using Machine Learning Algorithm
نویسنده
چکیده
Online Social Networks (OSNs) have become an important part of daily life. Users build networks to represent their social relationships. Users can upload and exchange the information related to their personal lives. Online Social Networks is to give users the ability to control the messages posted on their own private space to avoid unwanted content is displayed. The project proposes a new system allowing OSN users to have a direct control on the messages posted on their walls. This can be done by a flexible rule-based system that allows users to provide the filtering criteria to be applied to their user walls, and a classifier automatically labeling messages in support of content-based filtering. The system exploits a classifier to enforce customizable content-dependent Filtering Rules.
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