Credible and incredible user recognizing method based on feedforward neural network

A feedforward neural network and user identification technology, which is applied in the field of credible and untrustworthy user identification based on feedforward neural network, can solve problems such as insufficient flexibility, insufficient precision, and lack of intelligence
CN103577876AInactive Publication Date: 2014-02-12JILIN UNIV
3 Cites 14 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
JILIN UNIV
Publication Date
2014-02-12
Estimated Expiration
Not applicable Β· inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a credible and incredible user recognizing method based on a feedforward neural network. The method aims to solve the problems that in the prior art, precision is low, recognition bases are not sufficient, flexibility is poor and social network analysis granularity is rough. The method includes the steps of (1) obtaining a special user and determining users contained in a training set, (2) analyzing and quantifying user characteristics so as to represent the users as user characteristic vectors, (3) building the feedforward neural network, (4) training the feedforward neural network, and (5) achieving credible and incredible user recognition through the trained feedforward neural network. The credible and incredible user recognition includes the steps of (1) obtaining user information in a social network, (2) quantifying the user information to generate the user characteristic vectors, and (3) inputting the user characteristic vectors into the feedforward neural network and recognizing credible users and incredible users according to output values of output nodes.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to a method for identifying trusted and untrusted users in the field of social networks, more precisely, the invention relates to a method for identifying trusted and untrusted users based on a feedforward neural network. Background technique

[0002] Nowadays, social networks provide network users with a more convenient and fast platform for information exchange and resource sharing. However, due to the openness and virtuality of social networks, a large amount of false information or even false information floods the network space, leading to the growing phenomenon of dishonesty. Seriously, it has adverse effects on society and disrupts social order. Therefore, identifying false information on the Internet has become a key and hot research issue. Given that network users are the media for information release and dissemination, the primary task of identifying information authenticity is to identify credible and untrustworthy user...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More