We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike previous work, we automatically label topics using appropriate keywords. We show that, in order to get appropriate keywords, we must apply strong filters that use domain knowledge about e-mail and the workplace of the user. We demonstrate these keywords by creating an email/ document browser which makes use of these keywords as standing queries to create virtual folders that help organize, index and retrieve email efficiently. We present subjective user studies to show the usefulness of the strong filtering.

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In: Proc. Second Conference on Email and Anti-Spam (CEAS 2005)

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