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Spatial-temporal trajectory and social network user attribute prediction system

A space-time track and social network technology, applied in forecasting, data processing applications, character and pattern recognition, etc., can solve problems such as difficulty in acquisition, and achieve the effects of improving applicability, forecasting ability, and forecasting accuracy

Active Publication Date: 2017-04-26
XI AN JIAOTONG UNIV
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Problems solved by technology

However, if we only use social networks to infer user attributes, we first need to know the attributes of most nodes in the social network, but due to privacy issues, this is difficult to obtain in practical applications

Method used

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  • Spatial-temporal trajectory and social network user attribute prediction system
  • Spatial-temporal trajectory and social network user attribute prediction system
  • Spatial-temporal trajectory and social network user attribute prediction system

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Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the implementation manners of the present invention will be described in detail below in conjunction with the drawings and embodiments.

[0032] like figure 1 As shown, the system consists of three subsystems, which are data processing subsystem, feature extraction subsystem and classification prediction subsystem. The input data of the system includes two parts: user's spatio-temporal trajectory information and social network information. The spatio-temporal track information of the user should include three parts: user ID, geographic location ID and time ID. That is, each row indicates that a certain user has been to a certain place at a certain time. The social network information also includes three parts: user 1 identifier, user 2 identifier, and social relationship. That is, each row indicates that user 1 and user 2 have a social relationship...

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Abstract

The present invention provides a spatial-temporal trajectory and social network user attribute prediction system. According to the system, the behavior pattern of a user is analyzed, so that the real identity attributes of the user can be predicted. The system includes a data processing subsystem, a feature extraction subsystem and a classification prediction subsystem; spatial-temporal trajectory data and social network data are analyzed; an original non-negative tensor factorization (NTF) algorithm is put forward to automatically extract the hidden features of the user; and a plurality of classifiers are adopted to predict the attribute of the user through using the hidden features of the user. The spatial-temporal trajectory and social network user attribute prediction system of the invention can be used for user attribute authenticity detection and can be also used for performing precise popularization according to predicted attributes.

Description

technical field [0001] The invention belongs to the technical field of data mining, in particular to a user attribute prediction system based on spatio-temporal trajectory and social network. Background technique [0002] With the application and development of Internet technology, there are more and more Internet users. The Internet is virtual, and the user's information on the Internet is not necessarily its real attribute. In order to improve the security of the Internet, it is necessary to ensure the authenticity of the user's identity. [0003] The development of mobile communication technology and the rapid popularization of smart mobile devices (such as smart phones and tablet computers) have made the connection between mobile devices and users closer and closer, and many mobile devices and APPs can record user actions. Therefore, the problem of using user behavior to infer user attributes has attracted the attention of many researchers. [0004] Here we mainly focu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F17/30G06K9/62
CPCG06F16/9537G06Q10/04G06F18/2431
Inventor 王平辉孙飞扬王迪管晓宏陶敬张岩曹鹏飞贾鹏胡小雨曹宇兰林
Owner XI AN JIAOTONG UNIV
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