The week's pick
Reseach Article
A Machine Learning Approach to Riddle Abused Scraps from OSN User Space
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 12 |
| Year of Publication: 2014 |
| Authors: Pavan Kumar, B.raghu Ram, B.hanmanthu |
10.5120/18575-9851
|
Pavan Kumar, B.raghu Ram, B.hanmanthu . A Machine Learning Approach to Riddle Abused Scraps from OSN User Space. International Journal of Computer Applications. 106, 12 ( November 2014), 33-37. DOI=10.5120/18575-9851
Abstract
Today's Online Social Networks are to communicate with people and share information with them. In this kind of network process user space is a space where scraps or temporal notes of its users can be displayed. But users have very less control on scraps posted on their space. Abused Scraps which are sending and received on the user private space are riddled by allowing OSN users to have a direct control on the scraps posted on their spaces through Filtering Rules and Context Based Filtering Mechanism. A Flexible Rule System, that allows users to customize the filtering criteria to be applied to their space. The Abused Scraps from the user space can be riddled by Machine Learning based soft classifier. The user has a system with a sophisticated approach to decide which scraps should be inserted into a Blacklist.
References
- Marco Vanetti, Elisabetta Binaghi, Elena Ferrari, Barbara Carminati, and Moreno Carullo, "A System to Filter Unwanted Messages from OSN User Walls", IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 2, February 2013.
- 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.
- A. Adomavicius and G. Tuzhilin, "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE Trans. Knowledge and Data Eng. , vol. 17, no. 6, pp. 734-749, June 2005.
- S. Zelikovitz and H. Hirsh, "Improving Short Text Classification Using Unlabeled Background Knowledge," Proc. 17th Int'l Conf. Machine Learning (ICML '00), P. Langley, ed. , pp. 1183-1190, 2000.
- 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.
- C. Cleverdon, "Optimizing Convenient Online Access to Bibliographic Databases," Information Services and Use, vol. 4, no. 1, pp. 37-47, 1984.
- 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.
- M. Chau and H. Chen, "A Machine Learning Approach to Web Webpage Filtering Using Content and Structure Analysis," Decision Support Systems, vol. 44, no. 2, pp. 482-494, 2008.
- K. Arnold and J. Gosling, The Java Programming Language, 1996 :Addison Wesley
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