Feedback loop for spam prevention

Details Feedback loop for spam prevention Feedback loop for spam prevention

2007-05-15

2007-05-15

Tran, Philip B. (Department: 2155)

Electrical computers and digital processing systems: multicomput

Computer network managing

Computer network monitoring

C709S206000, C709S207000, C713S154000

Reexamination Certificate

active

10378463

ABSTRACT:
The subject invention provides for a feedback loop system and method that facilitate classifying items in connection with spam prevention in server and/or client-based architectures. The invention makes uses of a machine-learning approach as applied to spam filters, and in particular, randomly samples incoming email messages so that examples of both legitimate and junk/spam mail are obtained to generate sets of training data. Users which are identified as spam-fighters are asked to vote on whether a selection of their incoming email messages is individually either legitimate mail or junk mail. A database stores the properties for each mail and voting transaction such as user information, message properties and content summary, and polling results for each message to generate training data for machine learning systems. The machine learning systems facilitate creating improved spam filter(s) that are trained to recognize both legitimate mail and spam mail and to distinguish between them.

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