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

A spatiotemporal trajectory, social network technology, applied in forecasting, data processing applications, character and pattern recognition, etc., can solve problems such as difficulty in obtaining, and achieve the effect of improving applicability, forecasting ability, and forecasting accuracy.

Active Publication Date: 2020-04-10
XI AN JIAOTONG UNIV
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  • Claims
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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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  • A user attribute prediction system based on spatio-temporal trajectory and social network
  • A user attribute prediction system based on spatio-temporal trajectory and social network
  • A user attribute prediction system based on spatio-temporal trajectory and social network

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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] Such as 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 relations...

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Abstract

The invention provides a user attribute prediction system based on spatio-temporal trajectory and social network, which predicts the user's real identity attribute by analyzing the user's behavior pattern. Including three subsystems of data processing, feature extraction and classification prediction; analyze spatio-temporal trajectory data and social network data; propose an original non-negative tensor decomposition (NTF) algorithm to automatically extract the user's hidden features; use the user's hidden features Containing features uses various classifiers to predict user attributes. The present invention can be used for authenticity detection of user attributes; it can also be used for accurate promotion 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 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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