Unwanted Message Filtering in OSN User Walls
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Review Papers | Computer Science & Engineering | India | Volume 3 Issue 7, July 2014

Unwanted Message Filtering in OSN User Walls

Ashwini Swami, Jayashri Chaudhari

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

Edition: Volume 3 Issue 7, July 2014

Pages: 1098 - 1103

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How to Cite this Article?

Ashwini Swami, Jayashri Chaudhari, "Unwanted Message Filtering in OSN User Walls", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20141216, Volume 3 Issue 7, July 2014, 1098 - 1103

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