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Content filtering is the automated process of classifying incoming mail as spam or legitimate mail. Spam is unsolicited, unwanted junk mail, often originating from 'untraceable' sources sent out in mass-mailings. Content filtering can take place on a mailserver, a personal computer, or both. If content filtering is done on a home or office computer, legitimate mail can be further classified for personal purposes, according to desire.
A mailserver that runs a spam filter has the built-in ability to reject mail based on various parameters such as keywords, originating addresses, or other header information. Many mailservers run some type of content filtering software, but often this isn't enough to keep spam at bay. Mailserver spam filters have to be somewhat general, comparatively speaking, to account for a customer base.
Personal content filtering can be extremely specific. The most popular type of content filtering software uses the Bayesian method. In this case, the software that performs the content filtering is "trained" by the user to accept or reject mail. This is referred to as "intelligent" content filtering. The software logs parameters based on mail rejected, and runs statistical analysis on incoming mail to see if the probability exists that the new mail is spam.
When the program gets it wrong, it's easy for the user to correct the mistake by taking an action such as clicking a "Keep" button or moving rejected mail to the accepted folder. Conversely, if spam slips through, a "Spam" button or equivalent action can correct the mistake. The program updates its parameters for future instances. Soon the program requires little to no user intervention.
The Bayesian method allows each user to customize content filtering according to his or her needs. What is spam to one person might be of interest to another. Intelligent content filtering also allows the user to change his or her definition of spam.
For example, while shopping for particular items online, one might be interested in receiving offers or information. After purchases are made, however, these offers can become bothersome -- especially when they are still arriving weeks and months later. With local running content filtering software, one can accept the offers initially, and after the purchases, train the software to reject all such mail.
Aside from simply filtering out spam, advanced content filtering can also perform functions such as sorting legitimate incoming mail into different folders, copying mail, or assigning mail of certain types custom colors. All family mail might be in red, while a subscribed newsletter could be assigned green. With a glance at the colors, one can tell what kind of mail is in the inbox.
Features, functionality and effectiveness of content filtering will depend on the program used. There are several free content filtering packages available online.
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