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.
Type:
Application
Filed:
October 3, 2003
Publication date:
April 7, 2005
Applicant:
Corvigo
Inventors:
Scott Loughmiller, Mike Olson, Jeff Ready, Ehren Maedge, Phil White, Jason Collier