Social network platforms have hastily changed the way that people communicate and interact. They have enabled the establishment of, and participation in, digital communities as well as the representation, documentation and exploration of social relationships. We believe that as ‘apps’ become more sophisticated, it will happen to easier for users to share their own services, resources and data via social networks. One essential topic in today On-line Social Networks (OSNs) is to give users the ability to control the messages post on their own confidential space to avoid that unnecessary content is displayed. Up to nowadays OSNs present modest sustain to this requirement. To fill the gap, in this paper, we suggest a system allowing OSN users to have a direct control on the messages posted on their walls. This is reach during a flexible rule-based scheme, that allow users to adapt the filtering criterion to be practical to their walls, and a Machine Learning base soft classifier instinctively category messages in bear of content-based filtering. Index Terms—On-line Social Networks, Information Filtering, Short Text Classification, Policy-based Personalization The key findings of this work demonstrate how social networks can be leveraged in the construction of cloud computing infrastructures and how resources can be due in the occurrence of user sharing preferences.

Social Netowrk

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