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Method for detecting users who score maliciously in online social media system

A media system and user technology, applied in data processing applications, commerce, instruments, etc., can solve the problems of deviation in recognition accuracy, cannot meet actual needs, and is not suitable for evaluation systems, and achieves improved recognition accuracy and excellent detection results. , the effect of improving the detection efficiency

Inactive Publication Date: 2015-03-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Although this method can effectively calculate the user reputation value, it is mainly used to identify users with high reputation, and the accuracy of user detection for malicious scores is not high
[0010] To sum up, the existing methods cannot meet the actual needs of most social media sites, or there is a bias in the recognition accuracy, or cannot be efficiently applied to actual detection, or are not suitable for some evaluation systems

Method used

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  • Method for detecting users who score maliciously in online social media system
  • Method for detecting users who score maliciously in online social media system
  • Method for detecting users who score maliciously in online social media system

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Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described examples are only intended to facilitate the understanding of the present invention, and have no limiting effect on it.

[0040] The method for detecting malicious scoring users in social media based on scoring behavior clustering proposed by the present invention, the overall process is as follows figure 1 shown.

[0041] Step 1 is the data preprocessing module. This module will preprocess the original data input by the system, filter the noise data, and perform discrete integerization on the scoring data. The preprocessed data is the input of the feature extraction operatio...

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Abstract

The invention discloses a method for detecting users who score maliciously in an online social media system. The method for detecting users who score maliciously in the online social media system arms at scoring feedback. Firstly, clustering is conducted according to scores for products by users, and the normalized user confidence degree is calculated; secondly, the reliability degree of user scoring is calculated according to the user confidence degree to obtain a candidate list of the users who score maliciously; finally, candidate users who score maliciously are sorted in combination with the deviation degree of user scoring and product quality to obtain the final list of the users who score maliciously. The method has advantages in the aspects of calculation accuracy and efficiency and can be applied to large-scale online social media websites.

Description

technical field [0001] The invention relates to a method for detecting malicious evaluation users in an online social media system, in particular to a method for detecting malicious evaluation users in a social media system aimed at rating feedback. Background technique [0002] As the carrier of business, the Internet has become an indispensable tool for information collection, transmission and exchange. The advent of the information age has injected new vitality into the IT service industry based on the Internet. Among them, social media has attracted much attention and has been recognized as a new economic model and catalyst of the 21st world pattern, known as "sunrise industry and green industry". Social media is a new type of networked economic activity, which is developing rapidly at an unprecedented speed. It has become an effective means for the country to enhance its economic competitiveness and win the advantages of global resource allocation. Through social media...

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Application Information

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IPC IPC(8): G06Q30/00
Inventor 尚明生蔡世民高见董宇蔚
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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