Self-feedback junk information filtering method

A technology for spam and information filtering, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of speed weakness, waste of manpower and material resources, and insufficient filtering effect, so as to overcome the high degree of manual participation and improve the Speed ​​and Accuracy, Achieve Automated Effects

Inactive Publication Date: 2009-06-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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Problems solved by technology

Such a static method must manually adjust the parameters and knowledge base to achieve the purpose of optimizing the system, which wastes a lot of manpower and material resources. At the same time, the static method does not make full use of the valuable information obtained during the operation of the system. of spam
In addition, most of the current solutions use a single method for information filtering. In real-time systems, fast filtering methods such as blacklists can meet the speed requirements, but the filtering effect is generally not high enough, while content filtering with better efficiency, such as classification, etc. has a fatal speed weakness

Method used

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Embodiment Construction

[0011] Specific embodiments of the present invention are described below, and it should be noted that in the following description, when detailed descriptions using known functions and designs may dilute the main content of the present invention, these descriptions will be ignored here .

[0012] figure 1 It is a flow chart of a specific embodiment of the self-feedback garbage information filtering method of the present invention.

[0013] In this embodiment, the invention is described in detail by taking the filtering and self-optimization of mobile phone short messages in the SMS center as an example. The information filter is a short message filter, including: traffic filter, black and white list filter, sampling filter, Keyword filter and classification filter; information filtering rule base is SMS filtering rule base, including traffic policy base D31, black and white list base D32, user information base D33, keyword base D34, classifier base D35; information log base i...

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Abstract

The invention discloses a self-feedback junk information filtering method. Self-feedback updating of information filter regulation is implemented by self-analysis, self-decision and self-optimization according to the filtered junk information by constructing journal analysis module with manual operation as little as possible. The invention greatly improves information filtering speed and accuracy, overcomes detects of high manpower participation in traditional filtration of massive information, heavy workload, correlation of speed and accuracy with operating height of manpower, and realizes information filtering automation.

Description

technical field [0001] The invention relates to the technical field of network information processing, in particular to a self-feedback junk information filtering method. Background technique [0002] Spam is generally defined as: Information received without request and permission that is of no use to the recipient. The content of junk information mainly includes advertising information, pornographic information, fake lottery winning information, fraudulent information, pranks and so on. The proliferation of spam not only affects people's normal life, but also has a great negative impact on the booming network and mobile industries, and has even become a major social nuisance. Therefore, the development of spam filtering system has important economic value and social benefits. [0003] In mobile short messages, emails, and web pages, spam filtering technology has been widely used. The current real-time spam filtering scheme mainly adopts a static method, that is, the sys...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L12/56H04L12/24G06F17/30
Inventor 傅彦夏虎陈安龙曾金全罗引
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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