Content Based Filtering in Social Networking Sites using Web Apllication
M.Vamsi Krishna Reddy1, Md Ali Hussain2
1M.Vamsi Krishna Reddy, Student, Department of Electronics and computer Engineering, K L University, India.
2Dr. Md Ali Hussain, Professor, Department of Electronics and computer Engineering, K L University, India.
Manuscript received on May 04, 2014. | Revised Manuscript received on May 05, 2014. | Manuscript published on May 05, 2014. | PP: 106-108 | Volume-4 Issue-2, May 2014. | Retrieval Number: B2215054214/2014©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: In consideration to the today’s globalized world everybody in the society are being addicted in using the Social Networks Sites. The basic problem that we are gonna be seen in using these sites is “Lack Of Privacy”. Till today, Social Networks Sites provide little support to this requirement. To sort out this problem, in this project we are proposing a system which will provide the indirect control to the users of these sites .This proposed model can be achieved through a modern rule-based system, that allows administrators to customize the filtering criteria to be applied to their walls, and a Machine Learning based soft classifier automatically labeling messages in support of content-based filtering.
Keywords: Social Networks Sites, Content-based filtering, Machine Learning, Rule-based system.