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| Yiming Yang, Shinjae Yoo, Frank Lin, Il-Chul Moon, "Personalized Email Prioritization Based on Content and Social Network Analysis," IEEE Intelligent Systems, vol. 25, no. 4, pp. 12-18, July/August, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2010.56, author = {Yiming Yang and Shinjae Yoo and Frank Lin and Il-Chul Moon}, title = {Personalized Email Prioritization Based on Content and Social Network Analysis}, journal ={IEEE Intelligent Systems}, volume = {25}, number = {4}, issn = {1541-1672}, year = {2010}, pages = {12-18}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2010.56}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Personalized Email Prioritization Based on Content and Social Network Analysis IS - 4 SN - 1541-1672 SP12 EP18 EPD - 12-18 A1 - Yiming Yang, A1 - Shinjae Yoo, A1 - Frank Lin, A1 - Il-Chul Moon, PY - 2010 KW - electronic mail KW - personalization KW - clustering KW - classification KW - and association rules KW - feature extraction or construction KW - mining methods and algorithms KW - intelligent systems VL - 25 JA - IEEE Intelligent Systems ER - | |||
The proposed system combines unsupervised clustering, social network analysis, semisupervised feature induction, and supervised classification to model user priorities among incoming email messages.
1. L.A. Dabbish, and R.E. Kraut, "Email Overload at Work: An Analysis of Factors Associated with Email Strain," Proc. 20th Anniversary Conf. Computer Supported Cooperative Work, ACM Press, 2006, pp. 431–440.
2. S. Yoo et al., "Mining Social Networks for Personalized Email Prioritization," Proc. 15th ACM SIGKDD Conf. Knowledge Discovery and Data Mining, ACM Press, 2009, pp. 967–976.
3. J.R. Tyler, D.M. Wilkinson, and B.A. Huberman, "Email as Spectroscopy: Automated Discovery of Community Structure within Organizations," Communities and Technologies, M. Huysman, E. Wenger, and V. Wulf eds., Kluwer, 2003, pp. 81–96.
4. A. Clauset, M.E.J. Newman, and C. Moore, "Finding Community Structure in Very Large Networks," Physical Rev. E, vol. 70, no. 6, 2004, pp. 066111-1–066111-6.
5. P.O. Boykin and V.P. Roychowdhury, "Leveraging Social Networks to Fight Spam," Computer, vol. 38, no. 4, 2005, pp. 61–68.
6. T. Haveliwala, S. Kamvar, and G. Jeh, An Analytical Comparison of Approaches to Personalizing Pagerank, tech. report, Stanford Univ., 2003.
1. E. Horvitz, A. Jacobs, and D. Hovel, "Attention-Sensitive Alerting," Proc. Conf. Uncertainty and Artificial Intelligence, Morgan Kaufmann, 1999, pp. 305–313.
2. J R. Tyler, D.M. Wilkinson, and B.A. Huberman, "Email as Spectroscopy: Automated Discovery of Community Structure within Organizations," Communities and Technologies, M. Huysman, E. Wenger, and V. Wulf eds., Kluwer, 2003, pp. 81–96.
3. C. Neustaedter et al., , "The Social Network and Relationship Finder: Social Sorting for Email Triage," Proc. Conf. E-mail and Anti-Spam, 2005; http://www.ceas.cc/2005/papers149.pdf.
4. L. Johansen, M. Rowell, and P. McDaniel, "Email Communities of Interest," Proc. 4th Conf. E-mail and Anti-Spam, 2007; http://www.ceas.cc/2007/paperspaper-59.pdf .
5. F.Y. Wang et al., "Social Computing: From Social Informatics to Social Intelligence," IEEE Intelligent Systems, vol. 22, no. 2, 2007, pp. 79–83.