Unwanted Message Filtering in OSN User Walls

Ashwini Swami, Jayashri Chaudhari

Abstract: As we all know, On-line Social Networks (OSNs) are very popular medium to communicate, share and a considerable amount of human life information. Daily and continuous communications. But it is very important for On-line social networks, to avoid unwanted messages getting displayed onto user walls. But OSNs provide very little support to this requirement. To achieve this requirement, we propose a system letting OSN users to have a direct control on the messages posted on their walls. We did this through a flexible rule-based system, which allows users to adapt the filtering criteria to be applied to their walls, and a Machine Learning classifier technique which automatically generates membership labels in support of content-based filtering.

Keywords: Information Filtering, On-line Social Networks, Short Text Classification, Filtering, Personalization, Machine learning classification techniques, Profile learning