Design of a Mail Filter and Personalized Classification System Based on Agent
Yuelin Zhang · Computer Technology and Development · 2009
With the wide application of E-mail,the spam does more and more hurt, and the users want more personalized services.A mail filter and personalized classification system based on Agent is provided.This system can not only filter the spam,but also classify the normal mail automatically according to the users' personalized requirements.The spam filter uses naive Bayes method,and the mail personalized classification uses minimum risk Bayes method.The mail personalized classification makes good use of the output of the spam filter,as a result improves the system's operating efficiency.This system can get users' feedback and send to the corresponding agent,in order to improve the classification algorithm and make delicate adjustment to the classification system.