Method for confirming junk information as well as device and terminal therefor

Abstract

The embodiment of the invention provides a method for confirming junk information as well as a device and a terminal therefor. The method comprises: acquiring verification feature information of the received information; matching the verification feature information with the preset junk feature information in terms of similarity; and confirming the information as junk information if the similarity between the verification feature information and the junk feature information is no less than a preset threshold. The method for confirming junk information as well as the device and the terminal therefor provided by the embodiment of the invention acquire the verification feature information of the received information and match the verification feature information with the preset junk feature information in terms of similarity so as to confirm whether the information is junk information by the similarity matching result, thus comparatively accurately confirming the junk information.

Description

technical field [0001] The embodiments of the present invention relate to the field of communication technologies, and in particular, to a spam confirmation method, device, and terminal. Background technique [0002] SMS, as one of the value-added services of mobile communication, not only provides convenience for people, but also generates a large number of spam SMS. The supervision of spam text messages has received extensive attention from all walks of life. Necessary content filtering of text messages is an important part of creating a healthy mobile phone environment. prevention technology. [0003] An existing mobile phone short message filtering method is based on the mobile phone address book. This method extracts the phone number of the sender in the received short message, and then checks whether the phone number is included in the user's address book. If the phone number is not included, it is confirmed that the text message is a spam text message, which will ca...

AI Technical Summary

Problems solved by technology

[0003] An existing mobile phone short message filtering method is based on the mobile phone address book. This method extracts the phone number of the sender in the received short message, and then checks whether the phone number is included in the user's address book. If the phone number is not included, the SMS will be confirmed as a spam message, which will cause the normal SMS sent by the phone number outside the address book to also be confirmed as a spam message, resulting in a low accuracy rate of filtering spam messages

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