| An experimental framework for email categorization and management |
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Annual ACM Conference on Research and Development in Information Retrieval
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Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
table of contents
New Orleans, Louisiana, United States
Pages: 392 - 393
Year of Publication: 2001
ISBN:1-58113-331-6
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Downloads (6 Weeks): 17, Downloads (12 Months): 97, Citation Count: 12
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ABSTRACT
Many problems are difficult to adequately explore until a prototype exists in order to elicit user feedback. One such problem is a system that automatically categorizes and manages email. Due to a myriad of user interface issues, a prototype is necessary to determine what techniques and technologies are effective in the email domain. This paper describes the implementation of an add-in for Microsoft Outlook 2000 TM that intends to address two problems with email: 1) help manage the inbox by automatically classifying email based on user folders, and 2) to aid in search and retrieval by providing a list of email relevant to the selected item. This add-in represents a first step in an experimental system for the study of other issues related to information management. The system has been set up to allow experimentation with other classification algorithms and the source code is available online in an effort to promote further experimentation.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Balter, O. and Sidner, C. Bifrost Inbox Organizer: Giving users control over the inbox. Lotus TR 00-08, 2000.
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Gwynne, S. and Dickerson, J. Lost In The E-Mail. Time Magazine, April 21, 1997.
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Jenkins, B. Algorithm Alley: Hash Functions. Dr. Dobbs 22, 9, September 1997.
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CITED BY 12
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Victoria Bellotti , Nicolas Ducheneaut , Mark Howard , Ian Smith, Taking email to task: the design and evaluation of a task management centered email tool, Proceedings of the SIGCHI conference on Human factors in computing systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA
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Tom M. Mitchell , Sophie H. Wang , Yifen Huang , Adam Cheyer, Extracting knowledge about users' activities from raw workstation contents, Proceedings of the 21st national conference on Artificial intelligence, p.181-186, July 16-20, 2006, Boston, Massachusetts
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Michael Freed , Jaime Carbonell , Geoff Gordon , Jordan Hayes , Brad Myers , Daniel Siewiorek , Stephen Smith , Aaron Steinfeld , Anthony Tomasic, RADAR: a personal assistant that learns to reduce email overload, Proceedings of the 23rd national conference on Artificial intelligence, p.1287-1293, July 13-17, 2008, Chicago, Illinois
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