FIELD: information technology.
SUBSTANCE: invention refers to the systems and methods of the legitimate (useful) and unwanted (spam) information identification and classification of e-mail for spam prevention. The incoming email messages are randomly selected in order to obtain both the samples of legitimate and useless mail/unauthorised mailing to generate sets of training data. Those users who were determined as extirpators against unauthorised mailing should vote whether selection of separate incoming messages refers to legitimate or unwanted mail. The data base saves properties of each mailing transaction and voting transactions, for example, user info, message properties and content summary, and also the voting results for generating data for training the spam-filter.
EFFECT: training and improvement of the spam-filter.
45 cl, 11 dwg
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Authors
Dates
2008-08-20—Published
2004-02-25—Filed