[gsoc2011] Design and implement machine learning filters and categorization for
mail
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Key: JAMES-1216
URL: https://issues.apache.org/jira/browse/JAMES-1216
Project: JAMES Server
Issue Type: New Feature
Reporter: Eric Charles
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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