I scanned subject lines in the list archives back six months and didn't see anything that indicated this idea has been proposed before. However, it seems unlikely that I'm the first to have these thoughts:
1. When looping through rules, stop the loop on the last rule or,
optionally, when score_so_far >= required_score. This would
improve performance, I suspect.
2. Order rules so that statistically more likely rules with higher
scores appear first. This in combination with suggestion #1 could
also improve performance. Of course, it implies that part of
"learning" is ranking how often specific rules get triggered. This
ranking might be a function of the DNSBLs of the world.
If there was some way to search the list for this idea, I didn't see it.
If these ideas have already been discussed, please forgive this newbie.
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Regards,
Bren Letson
The Letson Agency, Nashville's VR Business Brokers Office
(615) 292-0636 (phone)
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