Method and device for filtering spam messages

Abstract

The invention discloses a method and device for filtering spam messages. The method and device are used for filtering spam messages for users of a social App. The method for filtering the spam messages comprises the steps of receiving messages sent by a second client end of the social App, judging whether a user of the second client end is a preset user capable of being screened or not, judging whether the message includes spam message key words or not when the user of the second client end is the preset user capable of being screened, and filtering the message when the message includes the spam message key words. According to the technical scheme, comprehensive screening is conducted on the user of the second client end and the spam message key words, so that the basis for filtering the message is not single any more, the condition that normal messages are mistakenly damaged is avoided, accordingly, the spam messages are effectively filtered for the user of the social App, interruptions are eliminated, and the experience degree to the social App of the user is improved.

Description

technical field [0001] The present disclosure relates to social applications, and in particular to a method and device for filtering junk messages. Background technique [0002] In social applications, users often receive spam messages such as advertisements, harassment, and scams, which make users feel troubled in the social process. [0003] In related technologies, spam messages can be filtered only in emails and short messages. The filtering method is to identify whether the message contains spam keywords extracted from the keyword database provided by the Internet Information Center. When the message contains spam keywords , filter the message. This simple method of filtering junk messages by keywords is not suitable for social applications. [0004] In social applications, such as instant messaging software, due to the possibility of mutual contact between users, the above-mentioned simple spam identification of messages between users and a single filtering basis wil...

AI Technical Summary

Problems solved by technology

[0004] In social applications, such as instant messaging software, due to the possibility of mutual contact between users, the above-mentioned simple spam identification of messages between users and a single filtering basis will easily accidentally injure messages sent by normal users. messages, resulting in false filtering of normal messages, thereby affecting the normal social functions of social application software

Therefore, the existing junk message filtering technology cannot be directly applied to instant messaging software, and cannot filter messages in social application platforms

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