[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 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 -- This message is automatically generated by JIRA. For more information on JIRA, see: http://www.atlassian.com/software/jira --------------------------------------------------------------------- To unsubscribe, e-mail: server-dev-unsubscr...@james.apache.org For additional commands, e-mail: server-dev-h...@james.apache.org