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Filter unwanted messages from walls and blocking nonlegitimate user in osn

Author(s):

Harde Pradeep Suresh , Shri chhatrapati Shivaji college of engineering, Shrishivajinagar.; Tamhane Ajinkya V., Shri chhatrapati Shivaji college of engineering, Shrishivajinagar.; Kharat Mohini K., Shri chhatrapati Shivaji college of engineering, Shrishivajinagar.; Gaikwad Rupali B., Shri chhatrapati Shivaji college of engineering, Shrishivajinagar.

Keywords:

Online Social Networks, Machine Learning, Information Filtering, Content based Filtering

Abstract

Today’s life is totally based on Internet. Now a days people cannot imagine life without Internet. Information and communication technology plays vital role in today’s online networked society. In today’s life, we are very close to the online social networks. Online social networks are used for posting and sharing information across various social networking sites. But user’s privacy is not maintained by online social networks. For maintaining users sensitive information’s privacy online social networks provides little or no support. For filtering unwanted messages we propose a system using machine learning (ML). Using machine learning in soft classifier content based filtering performed. In proposed system filtering rules (FR’s) are provided for content independent filtering.. Blacklists are used for more flexibility by which filtering choices are increased. Proposed system provides security to the Online Social Networks.

Other Details

Paper ID: IJSRDV3I100606
Published in: Volume : 3, Issue : 10
Publication Date: 01/01/2016
Page(s): 1035-1036

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