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Posted to server-dev@james.apache.org by "Eric Charles (JIRA)" <se...@james.apache.org> on 2011/04/05 06:38:10 UTC

[jira] [Commented] (JAMES-1216) [gsoc2011] Design and implement machine learning filters and categorization for mail

    [ https://issues.apache.org/jira/browse/JAMES-1216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13015752#comment-13015752 ] 

Eric Charles commented on JAMES-1216:
-------------------------------------

Vicki Fu has submitted an application for this on http://www.google-melange.com/gsoc/homepage/google/gsoc2011

> [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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