Patent Document ID: 7664819
Application ID: 10879626
Patent Flag: 1

Claim One:
1. A computer-implemented anti-spam update system comprising following components stored in a computer memory: a spam filter trained to distinguish between spam and good messages; an update component that incrementally augments or replaces at least a portion of the spam filter with updated information to facilitate spam prevention, the update component is built at least in part by using a machine learning component; and the machine learning component trains a first new filter using data extracted from one or more newly received messages, determines differences between the first new filter and the spam filter that satisfy a threshold value, trains a second new filter constrained to maintain weights of features of the spam filter corresponding to differences between the first new filter and the spam filter that did not satisfy the threshold value, and determines differences between the spam filter and the second new filter which satisfy one or more thresholds for augmenting or replacing at least a portion of the spam filter, wherein the updated information utilized by the update component is based at least in part on the determined differences between the spam filter and the second new filter.