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  2. Manage spam and privacy in AOL Mail - AOL Help

    help.aol.com/articles/aol-mail-spam-and-privacy

    Select the email. Click Spam. If you're given the option, click Unsubscribe and you will no longer receive messages from the mailing list. If you click the "Mark as Spam" icon, the message will be marked as spam and moved into the spam folder. If you don't get a pop up to unsubscribe, don't worry!

  3. Stop spam and junk mail in the AOL Mail app - AOL Help

    help.aol.com/articles/stop-spam-and-junk-mail-in...

    Spam is irrelevant, inappropriate, or malicious email. Our filters try to keep spam out of your Inbox, but they don't catch everything. Flag an email as spam to help train the filter. 1. Tap an email to open it or Edit and select multiple emails. 2. Tap the More icon. 3. Tap Mark as spam.

  4. Manage spam in AOL Mail - AOL Help

    help.aol.com/articles/manage-spam-in-aol-mail

    While 99.9% of spam, malware and phishing emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's very important to mark the email as spam, then our system will learn that messages from a specific sender aren't good and helps us make AOL Mail even better at recognizing future spam emails.

  5. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Email filtering - Wikipedia

    en.wikipedia.org/wiki/Email_filtering

    Email filtering. is the processing of email to organize it according to specified criteria. The term can apply to the intervention of human intelligence, but most often refers to the automatic processing of messages at an SMTP server, possibly applying anti-spam techniques. Filtering can be applied to incoming emails as well as to outgoing ones ...

  7. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag-of-words features to identify email spam, an approach commonly used in text classification . Naive Bayes classifiers work by correlating the use of tokens (typically words, or sometimes other things), with spam and non-spam e-mails and then ...

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