[JAMES-1216] [gsoc2011] Design and implement machine learning filters and categorization for mail

• Type: New Feature
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Labels: gsoc2011
• Assignee: Eric Charles
• Reporter: Eric Charles
• Created: 30/Mar/11 06:24
• Updated: 26/Apr/11 01:51

Description

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

Sub-Tasks

• AI Mailets Website: In Progress