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About the application:

Directions: 1. Press "Accounts" to setup an IMAP acc 2. Press "Check Connection" to verify the acc info & receive the folder list 3. Choose a SPAM folder to use from the folder list 4. Train the automatic filter and make your own black list guidelines to block SPAM [Note: This apk *cannot* be used with POP3 accounts because POP3 does not help server folders. Your only SPAM filtering option for POP3 is your basic email APP. If your email apk supports SPAM filtering, it will make a personal local SPAM folder to shop any potential SPAM.] Automatically detects and moves SPAM from the INBOX to the SPAM folder. [Please note: The apk does *not* auto remove SPAM from the INBOX of android device email apks unless the INBOX is set to resync with the SERVER. The auto detector requires USER training, pressing thumbs UP and DOWN icons on the HISTORY page] Filtering:  • Auto: Uses a machine learning tool to create clever SPAM filtering decisions.  • Blacklisting: Define guidelines for emails that could be blocked [Ex: Topic is "Viagra"] Training:  • Baked SPAM: The apk is able to detect common SPAM phrases upon first use [Ex; "Act now", "While supplies latest"]  • Player Training: On the history page, press the thumbs up and thumbs down icons to agree the auto spam filter's decisions.  • Adaptive: The auto SPAM filter will use the emails that you certify to create better decisions in the future. Good to Know:  • Mail Help: IMAP, IMAP IDLE and passwordless GMail authentication [OAuth2]  • Completely personal! Your data/email NEVER leaves your device!  • No subscription fees since the processing is performed locally The Science:  • Bayes Filter: Recursive Bayesian estimation, also known as a Bayes filter, is a general probabilistic approach for estimating an unknown probability density function recursively over time using incoming measurements and a mathematical process model.  • History: The approach to SPAM filtering used in this apk is based on a paper called "A plan for SPAM" by Paul Graham: http://www.paulgraham.com/spam.html Tutorial: http://bit.ly/2o6Rann [email protected] for questions, recommendations and assist!