基于时空感知的用户角色推理

doi:10.11999/JEIT150700

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Abstract

With the development of big data and information technology, a better understanding of users’ trajectories is of great importance for the design of many applications, such as personalized recommendation, behavioral targeting and computational advertising. In this paper, with the theory of urban computing based on big data, a model of recognizing information veracity of users on the social media networks is proposed. The behavior characteristics of users’ trajectories based on context awareness are analyzed. The model of recognizing the truth of social roles is formalized and built. The subjectivity of recognizing users’ roles is overcomed. Furthermore, experiments are conducted with large-scale and real-world datasets. The results show that the proposed model offers a powerful ability for recognition of truth social roles.

Key words： Big data Urban computing Context awareness Social roles

Received: 08 June 2015 Published: 19 November 2015

PACS:

TP391

Fund:

The National Natural Science Foundation of China (61272109), The Fundamental Research Funds for Central Universities (2042014kf0057), The National Natural Science Foundation of Hubei Province of China (2014CFB289), Air Force Early Warning Academy (2013ZDJC0101)

Corresponding Authors: LI Shijun E-mail: shjli@whu.edu.cn

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	HU Yahui
	LI Shijun
	YU Wei
	YANG Sha
	FANG Qiqing

Cite this article:

HU Yahui,LI Shijun,YU Wei等. Inferring Social Roles with Spatio-temporal Awareness[J]. JEIT, 2016, 38(3): 517-522.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT150700 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I3/517

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