Email Spam Blocker

Directions:

1. Press "Accounts" to setup an IMAP account

2. Press "Check Connection" to verify the account details & get the folder list

3. Select a SPAM folder to use from the folder list

4. Train the automatic filter and create your own black list rules to block SPAM

[Note: This app *cannot* be used with POP3 accounts because POP3 does not support server folders. Your only SPAM filtering option for POP3 is your primary email APP. If your email app supports SPAM filtering, it will create a private local SPAM folder to store any potential SPAM.]

Automatically detects and moves SPAM from the INBOX to the SPAM folder.

[Please note: The app does *not* auto remove SPAM from the INBOX of android email apps 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 program to make intelligent SPAM filtering decisions.

 • Blacklisting: Define rules for emails that should be blocked [Ex: Subject is "Viagra"]

Training:

 • Baked SPAM: The app is able to detect common SPAM phrases upon first use [Ex; "Act now", "While supplies last"]

 • User Training: On the history page, press the thumbs up and thumbs down icons to accept the auto spam filter's decisions.

 • Adaptive: The auto SPAM filter will use the emails that you certify to make better decisions in the future.

Good to Know:

 • Mail Support: IMAP, IMAP IDLE and passwordless GMail authentication [OAuth2]

 • Completely private! 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 app is based on a paper called "A plan for SPAM" by Paul Graham: http://www.paulgraham.com/spam.html

Guide:

http://bit.ly/2o6Rann

support@maxlabmobile.com for questions, suggestions and help!

路线：

  1.按“帐户”设置IMAP帐户

  2.按“检查连接”以验证帐户详细信息及获取文件夹列表

  3.选择一个垃圾邮件文件夹，从文件夹列表中使用

  4.列车全自动过滤器，并创建自己的黑名单规则来阻止垃圾邮件

  [注：此应用程序*不能*与POP3帐户使用，因为POP3不支持服务器文件夹。为POP3你唯一的垃圾邮件过滤选项是您的主要电子邮件应用程序。如果您的电子邮件应用程序支持垃圾邮件过滤，它会创建一个用于存储任何潜在的垃圾专用本地垃圾邮件文件夹。]

自动检测并从收件箱的垃圾邮件文件夹移到垃圾邮件。

[请注意：这个应用程序不*不*自动从Android的电子邮件应用的收件箱除非收件箱设置与服务器重新同步删除垃圾。自动检测器需要用户培训，上压拇指向下图标历史页面]

过滤

＆＃8195;＆＃8226; 自动：使用机器学习程序，使智能SPAM过滤决定。

＆＃8195;＆＃8226; 黑名单：定义规则为应被阻止电子邮件[实施例：主题是“伟哥”]

培训

＆＃8195;＆＃8226; 烤SPAM：应用程序是能够检测在第一次使用公共SPAM短语[实施例; “立即行动”，“售完为止”]

＆＃8195;＆＃8226; 用户培训在历史记录页面，按下了大拇指和拇指向下的图标接受自动垃圾邮件过滤器的决定。

＆＃8195;＆＃8226; 适应性：自动SPAM过滤器将使用您证明做出更好的未来决策的电子邮件。

提示：

＆＃8195;＆＃8226;邮件支持：IMAP，IMAP IDLE和密码的认证的GMail [OAuth2用户]

＆＃8195;＆＃8226;完全私人！您的数据/电子邮件永远不会离开你的设备！

＆＃8195;＆＃8226;因为处理不收视费在本地执行

科学：

＆＃8195;＆＃8226; 贝叶斯过滤器：递归贝叶斯估计，也称为贝叶斯过滤器，是使用传入测量和数学过程模型随时间递归地估计未知的概率密度函数的一般概率方法。

＆＃8195;＆＃8226; 历史：在此应用中用于SPAM过滤该方法是基于由保罗格雷厄姆称为“为SPAM的俯视”纸：http://www.paulgraham.com/spam.html

指南：

http://bit.ly/2o6Rann

support@maxlabmobile.com的问题，建议和帮助！