Rob <nom...@example.com>wrote:
> This would not work for scam mail, as the objective for a scam mail > it to look like a genuine mail but still deceive the user. > > Scammers copy genuine mails from banks and other companies and edit > them as little as possible. There is too much probability that they > would not be recognized as a scam after a user has whitelisted mails > from the company. > > This is different from spam, where you are looking for mails different > from usual mail, rather than mail that looks the same. But when you have 100% of e-mails from Flyertalk.com being marked as scams, and 0% are scams, then the software needs to be intelligent enough to recognise this. We are not discussing borderline situations where some messages are scams and some are not; this is a 100% false positive situation that requires adaptive learning in order to resolve the problem. Philip Taylor _______________________________________________ support-seamonkey mailing list support-seamonkey@lists.mozilla.org https://lists.mozilla.org/listinfo/support-seamonkey
