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A user attribute and social network detection system based on spatio-temporal trajectory

A space-time track and social network technology, applied in forecasting, data processing applications, digital data information retrieval, etc., can solve problems such as difficult access to social network information, achieve the effects of avoiding data acquisition difficulties, improving predictive capabilities, and improving applicability

Active Publication Date: 2020-04-10
XI AN JIAOTONG UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

However, due to privacy issues, social network information is difficult to obtain in practical applications

Method used

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  • A user attribute and social network detection system based on spatio-temporal trajectory
  • A user attribute and social network detection system based on spatio-temporal trajectory
  • A user attribute and social network detection system based on spatio-temporal trajectory

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Embodiment Construction

[0034] 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.

[0035] like figure 1 As shown, the system consists of four subsystems, which are data processing subsystem, social network modeling subsystem, feature extraction subsystem and classification prediction subsystem. The input data of the system is the user's spatio-temporal trajectory data, which includes three parts: user identification, geographical location identification and time identification. That is, each row indicates that a certain user has been to a certain place at a certain time.

[0036] It is worth noting that the attributes of some users in the input data are unknown (called target users), and the attributes of these users need to be predicted. For this purpose, some spatiotemporal trajectory data of u...

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Abstract

The present invention provides a user attribute and social network detection system based on spatio-temporal trajectory, which predicts the user's real identity attribute by analyzing the user's behavior pattern, including data processing, social network modeling, feature extraction and classification prediction. system; analyze the spatio-temporal trajectory data; according to the spatio-temporal trajectory data, propose an original point-based mutual information method to establish the user's social network model; propose an original non-negative tensor decomposition (NTF) algorithm to automatically extract the user's hidden features ; Utilize the user's hidden features and use a variety of classifiers to predict user attributes; the present invention can be used for authenticity detection of user attributes; it can also be used for user social network detection; information can also be classified according to predicted attributes and social networks Accurate push, friend recommendation, etc.

Description

technical field [0001] The invention belongs to the technical field of data mining, in particular to a user attribute and social network detection system based on time-space trajectory. 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. In addition, understanding the social relationship of users also has important applications in issues such as maintaining public safety and anti-terrorism. [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....

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06F16/9537G06K9/62
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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