Dynamic message filtering
First Claim
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1. A method for classifying messages, comprising the steps of:
- recognizing patterns including words and groups of words in a messages;
applying a plurality of machine learning techniques responsive to the recognized patterns in order to classify the message.
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Abstract
Dynamically filtering and classifying messages, as good messages, bulk periodicals, or spam. A regular expression recognizer, and pre-trained neural networks. The neural networks distinguish “likely good” from “likely spam,” and also operate at a more discriminating level to distinguish among the three categories above. A dynamic whitelist and blacklist; sending addresses are collected when the number of their messages indicates the sender is good or a spammer. A dynamically selected set of regular expressions input to the neural networks.
306 Citations
13 Claims
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1. A method for classifying messages, comprising the steps of:
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recognizing patterns including words and groups of words in a messages;
applying a plurality of machine learning techniques responsive to the recognized patterns in order to classify the message. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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Specification