Method and system against rubbish e-mails

Abstract

The method thereof comprises: 1) the mail learning module learns the feature of mail saved in the mail client side, and sends the learning result to the mail server; 2) the mail server combines the newly learned result with the original feature base of the mail client side to form a new feature base; 3) the junk mail filter uses the newest feature base to filter the new mail of corresponding mail client side received by the mail server.

Description

[technical field] [0001] The invention relates to spam processing technology in the technical field of electronic mail, in particular to a method and system for anti-spam. [Background technique] [0002] The current global communication network like the Internet has brought business opportunities for a large number of consulting sales companies and the like. E-mail, as a means of disseminating advertisements and publicity, is also more and more popular among merchants. This leads to more and more spam on the network, which greatly wastes network bandwidth, processing time of mail users, and system resources, making users extremely annoying, and has become a major problem hindering basic network applications. [0003] A key technique for stopping spam is the use of filtering systems. Currently, spam filtering based on email content mostly adopts the method of keyword statistics. Bayesian filtering is a keyword-based email filtering method with the highest frequency and the...

AI Technical Summary

Problems solved by technology

Disadvantages: emails need to be received locally before they can be filtered, which takes up a lot of network bandwidth and user system resources, prolongs the time for receiving emails, and reduces user experience

The disadvantage is: because whether an email is spam is not completely the same for each user, for example, some kind of advertising email is exactly what he needs for a small number of users, but for most users it's spam

Existing technology does not do this

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