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Abstract: MailCat is an intelligent assistant that helps users organize their e-mail into folders. MailCat uses a text classifier to predict where each new message is likely to be filed by the user and provides shortcut buttons to quickly file messages into one of its predicted folders. MailCat operates in a dynamic environment in which it must adapt to the user's continually changing mail-filing habits. MailCat uses incremental learning to cope with these changes. This paper evaluates the performance of ... (Update)
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BibTeX entry: (Update)
@misc{ segal-dynamics,
author = "Richard B. Segal and Jeffrey O. Kephart",
title = "Dynamics of Incremental Learning in an E-Mail Classifier",
url = "citeseer.ist.psu.edu/segal99dynamics.html" }
Citations (may not include all citations):1256 Introduction to Modern Information Retrieval (context) - Salton, McGill - 1983
248 Fast effective rule induction - Cohen - 1999
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111 Collaborative interface agents - Lashkari, Metral et al. - 1994
110 Training algorithms for linear text classifiers - Lewis, Schapire et al. - 1996
66 Learning rules that classify e-mail - Cohen - 1996
59 Agents that reduce work and information overload (context) - Maes - 1994
54 How to personalize the web - Barrett, Maglio et al. - 1997
31 Interface agents that learn: An investigation of learning is.. - Payne, Edwards - 1997
27 Towards language independent automated learning of text cate.. - Apte, Damerau et al. - 1994
5 AIM: A new approach for meeting information needs (context) - Barrett, Selker - 1995
2 Subject based searching using automatically extracted metada.. (context) - Kirsche, Barrett - 1996
1 MailCat: An intelligent assistant for organizing e-mail (context) - Author, Author - 1999
Documents on the same site (http://www.research.ibm.com/swiftfile/):
MailCat: An Intelligent Assistant for Organizing E-Mail - Segal, Kephart (1999) (Correct)
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