Abstract
This paper proposes a system enforcing content-based message filtering for On-line Social Networks (OSNs). The system allows OSN users to have a direct control on the messages posted on their walls. This is achieved through a flexible rule-based system, that allows a user to customize the filtering criteria to be applied to their walls, and a Machine Learning based soft classifier automatically labelling messages in support of content-based filtering.
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References
Ali, B., Villegas, W., Maheswaran, M.: A trust based approach for protecting user data in social networks. In: Proceedings of the 2007 Conference of the Center for Advanced Studies on Collaborative Research, pp. 288–293. ACM, New York (2007)
Amati, G., Crestani, F.: Probabilistic learning for selective dissemination of information. Information Processing and Management 35(5), 633–654 (1999)
Boykin, P.O., Roychowdhury, V.P.: Leveraging social networks to fight spam. IEEE Computer Magazine 38, 61–67 (2005)
Carminati, B., Ferrari, E.: Access control and privacy in web-based social networks. International Journal of Web Information Systems 4, 395–415 (2008)
Carminati, B., Ferrari, E., Perego, A.: Enforcing access control in web-based social networks. ACM Trans. Inf. Syst. Secur. 13(1), 1–38 (2009)
Carullo, M., Binaghi, E., Gallo, I.: An online document clustering technique for short web contents. Pattern Recognition Letters 30, 870–876 (2009)
Churcharoenkrung, N., Kim, Y.S., Kang, B.H.: Dynamic web content filtering based on user’s knowledge. In: International Conference on Information Technology: Coding and Computing, vol. 1, pp. 184–188 (2005)
Fang, L., LeFevre, K.: Privacy wizards for social networking sites. In: WWW 2010: Proceedings of the 19th International Conference on World Wide Web, pp. 351–360. ACM, New York (2010)
Fong, P.W.L., Anwar, M.M., Zhao, Z.: A privacy preservation model for facebook-style social network systems. In: Backes, M., Ning, P. (eds.) ESORICS 2009. LNCS, vol. 5789, pp. 303–320. Springer, Heidelberg (2009)
Frakes, W., Baeza-Yates, R. (eds.): Information Retrieval: Data Structures & Algorithms. Prentice-Hall, Englewood Cliffs (1992)
Golbeck, J.A.: Computing and Applying Trust in Web-based Social Networks. Ph.D. thesis, Graduate School of the University of Maryland, College Park (2005)
Hanani, U., Shapira, B., Shoval, P.: Information filtering: Overview of issues, research and systems. User Modeling and User-Adapted Interaction 11, 203–259 (2001)
Kim, Y.H., Hahn, S.Y., Zhang, B.T.: Text filtering by boosting naive bayes classifiers. In: SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 168–175. ACM, New York (2000)
Landis, J.R., Koch, G.: The measurement of observer agreement for categorical data. Biometrics 33(1), 159–174 (1977)
Laudanna, A., Thornton, A., Brown, G., Burani, C., Marconi, L.: Un corpus dell’italiano scritto contemporaneo dalla parte del ricevente. III Giornate Internazionali di Analisi Statistica dei Dati Testuali 1, 103–109 (1995)
Lewis, D.D., Yang, Y., Rose, T.G., Li, F.: RCV1: A new benchmark collection for text categorization research. Journal of Machine Learning Research (2004)
Manning, C., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)
Moody, J., Darken, C.: Fast learning in networks of locally-tuned processing units. Neural Computation 1, 281–294 (1989)
Pérez-Alcázar, J.d.J., Calderón-Benavides, M.L., González-Caro, C.N.: Towards an information filtering system in the web integrating collaborative and content based techniques. In: LA-WEB 2003: Proceedings of the First Conference on Latin American Web Congress, p. 222. IEEE Computer Society, Washington (2003)
Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval. Information Processing and Management 24(5), 513–523 (1988)
Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1–47 (2002)
Strater, K., Richter, H.: Examining privacy and disclosure in a social networking community. In: SOUPS 2007: Proceedings of the 3rd Symposium on Usable Privacy and Security, pp. 157–158. ACM, New York (2007)
Tootoonchian, A., Gollu, K.K., Saroiu, S., Ganjali, Y., Wolman, A.: Lockr: social access control for web 2.0. In: WOSP 2008: Proceedings of the First Workshop on Online Social Networks, pp. 43–48. ACM, New York (2008)
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Vanetti, M., Binaghi, E., Carminati, B., Carullo, M., Ferrari, E. (2011). Content-Based Filtering in On-Line Social Networks. In: Dimitrakakis, C., Gkoulalas-Divanis, A., Mitrokotsa, A., Verykios, V.S., Saygin, Y. (eds) Privacy and Security Issues in Data Mining and Machine Learning. PSDML 2010. Lecture Notes in Computer Science(), vol 6549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19896-0_11
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DOI: https://doi.org/10.1007/978-3-642-19896-0_11
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