Abstract
This chapter reviews and examines two important research topics related to intelligent email processing, namely, email filtering and email-mediated applications. We present a framework to show a full process of email filtering. Within the framework, we suggest a new method of combining multiple filters and propose a novel filtering model based on ensemble learning. For email-mediated applications, we introduce the concept of operable email (OE). It is argued that operable email will play a fundamental role in future email systems, in order to meet the need of the World Wide Wisdom Web (W4). We demonstrate the use of OE in implementing an email assistant and other intelligent applications on the World Social Email Network (WSEN).
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Li, W., Zhong, N., Yao, Y.Y., Liu, J., Liu, C. (2007). Spam Filtering and Email-Mediated Applications. In: Zhong, N., Liu, J., Yao, Y., Wu, J., Lu, S., Li, K. (eds) Web Intelligence Meets Brain Informatics. WImBI 2006. Lecture Notes in Computer Science(), vol 4845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77028-2_23
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DOI: https://doi.org/10.1007/978-3-540-77028-2_23
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