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https://issues.apache.org/jira/browse/JAMES-1216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13017424#comment-13017424
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Eric Charles commented on JAMES-1216:
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Vicki, Please link to https://issues.apache.org/jira/browse/JAMES-1216 from
your google-melange application
> [gsoc2011] Design and implement machine learning filters and categorization
> for mail
> ------------------------------------------------------------------------------------
>
> Key: JAMES-1216
> URL: https://issues.apache.org/jira/browse/JAMES-1216
> Project: JAMES Server
> Issue Type: New Feature
> Reporter: Eric Charles
> Assignee: Eric Charles
> Labels: gsoc2011
>
> Context: Anti-spam functionality based on SpamAssassin is available at James
> (base on mailets http://james.apache.org/mailet). Bayesian mailets are also
> available, but not completely integrated/documented. Nothing is available to
> automatically categorize mail traffic per user.
> Task: We are willing to align the existing implementation with any modern
> anti-spam solution based on powerfull machine learning implementation (such
> as apache mahout). We are also willing to extend the machine learning usage
> to some mail categorization (spam vs not-spam is a first category, we can
> extend it to any additional category we can imagine). The implementation can
> partially occur while spooling the mails and/or when mail is stored in
> mailbox.
> Related discussions: See also discussions on mail intelligent mining on
> http://markmail.org/message/2bodrwvdvtfq3f2v (mahout related) and
> http://markmail.org/thread/pksl6csyvoeo27yh (hama related).
> Mentor: eric at apache dot org & [fill in mentor]
> Complexity: high
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