Bayesian Spam Filters Uncovered

Written by Niall Roche

In a word Bayesian spam filters are "intelligent". Bayesian spam filters are intelligent in so far as they're capable of comparing two sets of information and acting onrepparttar result. This is in direct contrast torepparttar 132714 vast majority of other spam filters who use pre-built rules to decide which e-mail is spam and which is not.

Bayesian spam filters can take one group of legitimate e-mail and another group of spam and comparerepparttar 132715 values and data of each. The definition of legitimate e-mail that it creates atrepparttar 132716 end of this comparison session is what it uses going forward to scan your inbox for spam.

FYI Bayesian spam filters are named after Thomas Bayes an 18 century cleric who created something known as Bayes Theorem. In summary Bayes Theorem is as follows: .."in statistical inference to update estimates ofrepparttar 132717 probability that different hypotheses are true, based on observations and a knowledge of how likely those observations are, given each hypothesis." In plain English it looks for obvious repeating patterns to form an "opinion" on something. In spam filter terms that "opinion" becomes a rule which keeps you spam free (or pretty close :-)

The really neat thing about Bayesian filters is that they're capable of learning. For example if they decided to block an e-mail becauserepparttar 132718 filter perceived it as junk butrepparttar 132719 user marked it as valid mailrepparttar 132720 Bayesian filter then knows not to block that type of e-mail inrepparttar 132721 future. So, in time, this type of spam filter learns enough to block spam far more effectively. AOL have embraced this type of spam filter withrepparttar 132722 launch of AOL 9.0 and AOL Communicator- ifrepparttar 132723 big dog wants it then it must be worthwhile?

SPAM: Are you taking the Asterisk*?

Written by Michael Hopkins

SP*M isrepparttar scourge ofrepparttar 132712 Internet. Everyone hates SP*M. Even SPA*MERS hate SP*M!

Forrepparttar 132713 average email user it's an annoyance. But forrepparttar 132714 Internet marketer it represents a serious threat. If you're sending ezines, autoresponder messages or solo ads as a means of building your business, then there's every chance that between 10% and 50% of your recipients never get your email.

It'srepparttar 132715 SP*M blockers you see.

More and more email users have installed SP*M blockers to prevent allrepparttar 132716 thrash from ever reaching their inbox. Likewise, an ever-increasing number of ISPs use similar technology to protect their users.

This represents a serious challenge torepparttar 132717 legitimite marketer who's sending legitimite emails to legitimite opt-in recipients.

It's gotten torepparttar 132718 point where I can't even spellrepparttar 132719 word SP*M in this article for fear it never reaches you. I should also avoid words like FR*E or M*NEY or OPP*RTUNITY or even something apparently harmless like CLICK BEL*W!!

In fact, there's so many things that will clock up points onrepparttar 132720 SP*M blocker's index, that it's getting near impossible for us to write anything in our emails. (If you're interested, you can see an extensive list ofrepparttar 132721 kind of stuff that will earn you SP*MMER points at ests.html).

So what can you do to get around this problem?

Simple. You've got to determine whetherrepparttar 132722 emails you send out are going to passrepparttar 132723 SP*M blockers criteria or not.

Here's how to do it without spending a penny...

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