■SpamBlocker provides a spam filtering feature
SpamBlocker(the usage is explained at http://www.seimitsusakufu.com/iOS/spamblocker/ ) can filter out spams(junk mails) from the incoming mail messages by a spam filter which is generated by the SpamBlocker's built-in machine learning engine.
SpamBlocker also supports 'rule based' filtering by specifying "sender's mail address" or "subject"'s substring.

SpamBlocker has no mail sending facility and has only support for IMAP and can access only Inbox, spam box, trash box.
POP/SMS/MMS are not supported.

SpamBlocker adapts the advertising free application model, but it has no resident toolbar, so the client area with an advertisement banner isn't narrower than other standard iOS applications.

■Main Features:
•Fast machine learning engine optimized for a mobile device
◦Learn ham and spam mail messages to generate a spam filter
◦Spam filtering time is very short compared with mail messages downloading time.
◦Multi-language. In this version, only English and Japanese are supported. 
European languages will be OK if it's based on alphabets.
•Multi-account

■How to connect to an IMAP mail server:
To connect an IMAP mail server,
just specify your full email address as your login name(username) and the password you log in to your account.
If you don't know your login name/password, contact an organization or personnel in charge of the IMAP mail server to get a hostname, user id(name), password.

■Basic operation
* Pull to Refresh/Long Press to reload&spam filtering
* Tap/Swipe the navigation bar to move around mailboxes
* Move/Delete/Mark mail messages by the toolbar on the navigation bar
* Swipe up/down to move around mail messages

■Spam filtering:
SpamBlocker generates a spam filter by learning from spam and ham messages in INBOX.
Just follow the steps, you can have your own spam filter.

1. Tap 'Edit' button in Monitor.
2. Pick up several mail messages by tapping each table cell.
3. Tap "SPAM" button on the command bar.
4. Likewise pick up mails, and "HAM" button on the command bar.
5. "Pull to Refresh" or "Long press( 2sec) on the navigation bar" triggers Machine learning, then a spam filter will be generated.
6. Repeat the steps(1-5) until the number of spams and hams reaches about 16.
7. After learning about 16 spams and 16 hams, SpamBlocker is ready to start judging which mail is spam or not. Set the spam filter switch on the account setting if you want to start the spamfiltering.
8. Check the filtering result on Monitor.
9. Correct errors and 'Pull to Refresh" or "Long press( 2sec) on the navigation bar", re-learning starts and your spam filter gets smarter.

Repeat the steps(8-9) until no errors are found.

■Other usage:
Please visit support page.
http://www.seimitsusakufu.com/iOS/spamblocker/

■Support:
To get a further support , contact through the following mail address.
support_seimitsu@jcom.home.ne.jp