Paul Graham: A Plan for Spam

Paul Graham:
A Plan for Spam:
“I think we will be able to solve the problem with fairly simple algorithms. In fact, I’ve found that you can filter present-day spam acceptably well using nothing more than a Bayesian combination of the spam probabilities of individual words. Using a slightly tweaked (as described below) Bayesian filter, we now miss only 5 per 1000 spams, with 0 false positives.”

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