Perhaps a method similar to auto-whitelisting, or auto-learning in Bayes...
Let SpamAssassin keep a histogram of hours of the day during which spam and ham arrive. Hours during which more spam than ham arrives, can cause some extra points to be added. Hours during which mostly ham arrives, can have no points added. Keeping these stats on a per-user basis would allow SA to learn what sort of times each user tends to receive ham or spam. Thus a totally generalized rule for all SA users is unnecessary; SA would learn what times ham rarely comes in, on its own. -- [EMAIL PROTECTED] (Fuzzy Fox) || "Good judgment comes from experience. sometimes known as David DeSimone || Experience comes from bad judgment." ------------------------------------------------------- This SF.Net email sponsored by: Free pre-built ASP.NET sites including Data Reports, E-commerce, Portals, and Forums are available now. Download today and enter to win an XBOX or Visual Studio .NET. http://aspnet.click-url.com/go/psa00100003ave/direct;at.aspnet_072303_01/01 _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
