An Operable Email Based Intelligent Personal Assistant

被引：0
作者：
Wenbin Li
Ning Zhong
Yiyu Yao
Jiming Liu
机构：
[1] Shijiazhuang University of Economics,The International WIC Institute
[2] Beijing University of Technology,Department of Life Science and Informatics
[3] Maebashi Institute of Technology,undefined
[4] University of Regina,undefined
[5] Hong Kong Baptist University,undefined
来源：
World Wide Web | 2009年 / 12卷
关键词：
operable email; personal assistant; email filtering; intelligent agents; Web intelligence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The recent phenomena of email-function-overloading and email-centricness in daily life and business have created new problems to users. There is a practical need for developing a software assistant to facilitate the management of personal and organizational emails, and to enable users to complete their email-centric jobs or tasks smoothly. This paper presents the status, goals, and key technical elements of an Email-Centric Intelligent Personal Assistant, called ECIPA. ECIPA provides various assisting functions, including automated and cost-sensitive spam filtering based on corresponding analysis, ontology-mediated email classification, query and archiving. ECIPA can learn from dynamic user behaviors to effectively sort and automatically respond email. Techniques developed in Web Intelligence (WI) are adopted to implement ECIPA. In order to facilitate cooperation of ECIPAs of different users, the concept of operable email, an extension of traditional email with an operable form, is introduced. ECIPA can in fact be viewed as a family of collaborative agents working together on the operable email.
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页码：125 / 147
页数：22
相关论文
共 19 条
  • [1] Fawcett T.(2003)“In vivo” spam filtering: a challenge problem for data mining KDD Explorations 5 140-148
  • [2] Li W.B.(2006)Combining multiple email filters of Naive Bayes based on GMM Acta Electronica Sinica 34 247-251
  • [3] Liu C.N.(1994)Agents that reduce work and information overload Comm. ACM 37 30-40
  • [4] Chen Y.Y.(2002)Machine learning in automated text categorization ACM Comput. Surv. 34 1-47
  • [5] Maes P.(2005)A novel method for Chinese spam detection based on one-class support vector machine J. Inform. Comput. Sci. 2 109-114
  • [6] Sebastiani F.(2004)An evaluation of statistical spam filtering techniques ACM Trans. Asian Lang. Inform. Process. 3 243-269
  • [7] Sun D.(2002)In search of the wisdom Web Computer 35 27-31
  • [8] Tran Q.A.(2007)Envisioning intelligent information technologies from the stand-point of Web intelligence Commun. of the ACM 50 89-94
  • [9] Duan H.(undefined)undefined undefined undefined undefined-undefined
  • [10] Zhang G.(undefined)undefined undefined undefined undefined-undefined
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