Abstract

In today's World, the consumption of internet content has increased manifold. There are various applications to track this consumption at individual levels, but none to do it for a closed group like a family or a class or a project team. Our work proposes an application which not only tracks the internet consumption of the individuals but also collaborates it for a social group and displays the summary in a categorical format. The categorization done is based on type and level of the internet content . The result of this application can be customized on the basis of inputs given by a user, providing a very crisp summary which has a plethora of practical advantages to various sections of society.

References

• "TrackingSystem"http://en. wikipedia. org/wiki/Tracking_system, (October 2007).
• Nicholas Jackson, The Next Online Privacy Battle: Powerful Super cookies, ATLANTIC (Aug. 18, 2011, 10:31 AM), http://www. theatlantic. com/technology/archive/2011/08/the-next-online-privacy-battle-powerful-supercookies/243800.
• Minh Tran, Xinshu Dong, Zhenkai Liang, and Xuxian Jiang" Tracking the Trackers: Fast and Scalable Dynamic Analysis of Web Content for Privacy Violations," Department of Computer Science, North Carolina State University, School of Computing, National University of Singapore.
• Shingo Otsuka, Masashi Toyoda, Jun Hirai, Masaru Kitsuregawa," Extracting User Behavior by Web Communities Technology on Global Web Logs", Database and Expert Systems Applications ,Lecture Notes in Computer Science Volume 3180, 2004, pp 957-968
• Erwin A. Alampay, Ma. Regina M. Hechanova "MONITORING EMPLOYEE USE OF THE INTERNET IN PHILIPPINE ORGANIZATIONS" EJISDC (2010) 40, 5, 1-20.
• Yilu Zhou, Edna Reid, Jialun Qin, Hsinchun Chen and Guanpi Lai "U. S. Domestic Extremist Groups on the Web: Link and Content Analysis".
• CNN, U. S. Hate Groups Hard to Track, July 1999.
• P. B. Gerstenfeld, D. R. Grant, C. Chiang, "Hate Online: a Content Analysis of Extremist Internet Sites," Analysis of Social Issues and Public Policy, vol. 3, 1:29-44.
• R. Kay, "Web Harvesting," Computer World, June 21, 2004 http://www. computerworld. com. Accessed January, 15, 2005.
• D. Gibson, J. Kleinberg, P. Raghavan, "Inferring Web Communities from Link Topology," Proceedings of the 9th ACM Conference on Hypertext and Hypermedia, ACM, 1998.
• E. O. F. Reid, "Identifying a Company's Non-Customer Online Communities: a Proto-typology," Proceedings of the 36th Hawaii International Conference on System Sciences, Springler, 2003. http://e-business. fhbb. ch/eb/publications. nsf/id/214. Accessed June 18, 2004.
• Omer Tene and Jules Polonetsky "To Track or "Do Not Track": Advancing Transparency and Individual Control in Online Behavioral Advertising", 7TENE POLONETSKY FINAL_JAD,(2/28/2012,11:25 AM).
• Jonathan R. Mayer and John C. Mitchell" Third-Party Web Tracking: Policy and Technology", Stanford University Stanford, CA. , 2012 IEEE Symposium on Security and Privacy.
• Christopher Butler," Unlimited vs. Limited Web Tracking",http://www. newfangled. com/unlimited_vs_limited_web_tracking",September,2010.
• John O'Rourke "Automating a user defined Categorization of the Web", Senior Research Proposal Draft 3.
• Giuseppe Attardi, Antonio Gulli and Fabrizio Sebastiani "Automatic Web page Categorization by Link and Context Analysis",(1999).
• Ittner,D. D. ,Lewis,D. D. ,Ahm,D. :"Text categorization of low quality images", Proceedings of SDAIR-95,4th Annual Symposium on Document Analysis and Information Retrieval,Las Vegas,US,301-315,1995.
• Lewis,D. D. ,Schapire,R. E. ,Callan,J. P. ,Papka,R. :"Training algorithms for linear text classifiers", Proceedings of SIGIR-96,19th ACM International Conference on Research and Development in Information Retrieval,Zurich,CH,298-306,1996.
• Ng,H. T. ,Goh,W. B. ,Low,K. L. :"Feature selection, perception learning, and a usability case study for text categorization", Proceedings of SIGIR-97,20th ACM International Conference on Research and Development in Information Retrieval,Philadelphia,US,67-73,1997.
• Schutze,H. ,Hull,O. A. ,Pedersen,J. O. :"A comparison of classifiers and document representations for the routing problem", Proceedings of SIGIR-95,18th ACM International Conference on Research and Development in Information Retrieval,Seattle,US,229-237,1995.
• Yang, Y. : "Expert Network: effective and efficient learning from human decisions in text categorization and retrieval", Proceedings of SIGIR-94,17th ACM International Conference on Research and Development in Information Retrieval, Dublin, IE, 13-22, 1994.
• Yang, Y. : "An evaluation of statistical approaches to text categorization", Technical Report CMU-CS-97-127, School of Computer Science, Carnegie Mellon University, Pittsburgh, US, 1997. Forthcoming on the Information Retrieval Journal.
• Hao Chen and Susan Dumais "Bringing Order to the Web: Automatically Categorizing Search Results", Computer Human Interaction - CHI, pp. 145-152, 2000.
• Marchionini, G. , Plaisant, C. , and Komlodi, A. Interfaces and tools for the Library of Congress national digital library program. Information Processing and Management, 34, 535-555, 1998.
• . Pratt, W. Dynamic organization of search results using the umls. In American Medical Informatics Association Fall Symposium, 1997.
• Allen, R. B. , Two digital library interfaces that exploit hierarchical structure. In Proceedings of DAGS95: Electronic Publishing and the Information Superhighway (1995).
• Maarek, Y. , Jacovi, M. , Shtalhaim, M. , Ur, S. , Zernik, D. , and Ben Shaul, I. Z. Web Cutter: a system for dynamic and tailor able site mapping. In Proceedings of the 6th International World Wide Web Conference (Santa-Clara CA, April 1997).