Adaptive filters learn from the environment as time passes by. This learning ability improves the junk mail filtering functionality in Xeams.
There are two types of adaptive filters in Xeams
Bayesian spam filters calculate the probability of a message being spam based on its contents. Unlike simple content-based filters, Bayesian spam filtering learns from spam and from good mail, resulting in a very robust, adapting and efficient anti-spam approach that, best of all, returns hardly any false positives. Click here to learn more about the Bayesian Filter and tips on how to improve it for your needs.
This filter is used when you use Xeams to handle out-bound emails. Xeams learns and remembers email addresses on the Internet that receive emails from your local users. To understand this filter, consider the following scenario.
Mark, who is a user in your company sends an email to Mary who is a user on the Internet
You have configured Xeams to accept out-bound messages
Since Mark is a local user, Xeams will allow his message to go through and will also remember that Mark has sent an email to Mary.
When Mary replies back to Mark, the system gives credit to Mary's message hence avoiding a false-positive