The paper designs a spam filtering and classification model based on user needs combined with information gain and cost factor. At the same time, it puts forward a filtration ＆ classification method, which replaces one threshold comparison with two threshold comparisons while the traditional spam system filter e-mail only once. Besides, a feedback technique is applied to update training set in response to the ever-changing spam. The model might also hav...
