Filtering and intercepting method for junk mail

Abstract

The invention relates to a filtering and intercepting method for junk mail. The method filters and recognizes the mail for multiple layers: obtaining the classification attribute of mail for the user according to the expression and / or phonetic feature data of the user for receiving and sending the mail; for the mail, which cannot be confirmed on category, orderly inquiring the black / white list of the user node local and friend node, the friend node is the network node having higher mail interaction frequency with the current user node; reminding the user for judging the category of the mail. By filtering and recognizing the mail for multiple layers, the problem of the prior art for recognizing the junk mail with larger cost and low efficiency can be solved.

Description

technical field [0001] The invention relates to the field of network communication, in particular to a multi-level filtering and intercepting method of spam. Background technique [0002] With the development of Internet applications, e-mail has been widely used and has become one of the most basic services on the Internet. Users can exchange information economically, conveniently and quickly with remote users through e-mail. However, while e-mail is gradually becoming an indispensable and important information exchange tool, it is also becoming a commercial advertising method. While receiving useful information, users must also spend a lot of time and energy to classify and identify various emails to filter "junk" emails. However, the existing email classification and identification methods may use a relatively simple classification and identification method This leads to inaccurate results, or the use of overly complex identification methods increases the time cost. Ther...

AI Technical Summary

Problems solved by technology

Through the above multi-level filtering and interception, the problem of high cost and low efficiency in identifying spam in the prior art can be solved

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