A Novel Method for Providing Discrete Filtering and Blacklisting Options for OSN Users
Abstract
OSN has fabulous growth in recent years interacting millions of users. OSNs are provided with viewing friends content and sharing so much of information and messages among the users and users are allowed write something on other users walls. So here the users may lose privacy by writing something bad and unwanted content on their walls.
Introducing access control which includes flexible rule based system as well as machine learn based soft classifier for posted messages control on user own walls. To overcome this problem, in this paper we are introducing a concept of Individual Filtering option to each and every user of the OSN to control the content being posted on their wall. Also an option which can restrict the other users from commenting on the user’s wall, known as Blacklisting.
References
P.W. Foltz and S.T. Dumais, “Personalized Information Delivery: An Analysis of Information Filtering Methods,” Comm. ACM, vol. 35, no. 12, pp. 51-60, 1992.
N.J. Belkin and W.B. Croft, “Information Filtering and Information Retrieval: Two Sides of the Same Coin?” Comm. ACM, vol. 35, no. 12, pp. 29-38, 1992.
Marco Vanetti, Elisabetta Binaghi, Elena Ferrari, Barbara Carminati, and Moreno Carullo,” A System to Filter Unwanted Messages from OSN User Walls” IEEE, VOL. 25, NO. 2, FEBRUARY 2013.
R.J. Mooney and L. Roy, “Content-Based Book Recommending Using Learning for Text Categorization,” Proc. Fifth ACM Conf. Digital Libraries, pp. 195-204, 2000.
F. Sebastiani, “Machine Learning in Automated Text Categorization,” ACM Computing Surveys, vol. 34, no. 1, pp. 1-47, 2002.
M. Vanetti, E. Binaghi, B. Carminati, M. Carullo, and E. Ferrari, “Content-Based Filtering in On-Line Social Networks,” Proc. ECML/PKDD Workshop Privacy and Security Issues in Data Mining and Machine Learning (PSDML ’10), 2010.
L. Fang and K. LeFevre, “Privacy Wizards for Social Networking Sites,” Proc. 19th Int’l Conf. World Wide Web (WWW ’10), pp. 351- 360, 2010.
M. Chau and H. Chen, “A Machine Learning Approach to Web Page Filtering Using Content and Structure Analysis,” Decision Support Systems, vol. 44, no. 2, pp. 482-494, 2008.
Hanani, U., Shapira, B., Shoval, P.: Information filtering: Overview of issues, research and systems. User Modeling and User-Adapted Interaction 11, 203–259 (2001).
B. Sriram, D. Fuhry, E. Demir, H. Ferhatosmanoglu, and M.Demirbas, “Short Text Classification in Twitter to Improve
Information Filtering,” Proc. 33rd Int’l ACM SIGIR Conf. Research and Development in Information Retrieval (SIGIR ’10), pp. 841-842, 2010.
Manning, C., Raghavan, P., Schutze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge, UK (2008).
Refbacks
- There are currently no refbacks.
Copyright © 2013, All rights reserved.| ijseat.com
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.