![]() ![]() Thankfully, email applications now come with anti-spam measures built-in, and the likes of Gmail, for example, reckon the machine learning algorithms that power the spam filtering for 1.5 billion Google email users are 99.9% accurate. They did, however, require a period of training whereby the recipient would have to categorize email as being spam or not manually. Dedicated spam filtering solutions using a combination of sender reputation scoring and keywords soon emerged and proved more effective.
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