We know how you live: exploring the spectrum of urban lifestyles

Yuan, Nicholas Jing, Zhang, Fuzheng, Lian, Defu, Zheng, Kai, Yu, Siyu and Xie, Xing (2013). We know how you live: exploring the spectrum of urban lifestyles. In: COSN'13: Proceedings of the 2013 Conference on Online Social Networks. 1st ACM Conference on Online Social Networks (COSN 2013), Boston, United States, (3-14). 7-8 October 2013. doi:10.1145/2512938.2512945

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Author Yuan, Nicholas Jing
Zhang, Fuzheng
Lian, Defu
Zheng, Kai
Yu, Siyu
Xie, Xing
Title of paper We know how you live: exploring the spectrum of urban lifestyles
Conference name 1st ACM Conference on Online Social Networks (COSN 2013)
Conference location Boston, United States
Conference dates 7-8 October 2013
Proceedings title COSN'13: Proceedings of the 2013 Conference on Online Social Networks
Journal name COSN 2013 - Proceedings of the 2013 Conference on Online Social Networks
Place of Publication New York, United States
Publisher ACM
Publication Year 2013
Sub-type Fully published paper
DOI 10.1145/2512938.2512945
Open Access Status Not yet assessed
ISBN 9781450320849
Start page 3
End page 14
Total pages 12
Language eng
Formatted Abstract/Summary
 An incisive understanding of human lifestyles is not only essential to many scientific disciplines, but also has a profound business impact for targeted marketing. In this paper, we present LifeSpec, a computational framework for exploring and hierarchically categorizing urban lifestyles. Specifically, we have developed an algorithm to connect multiple social network accounts of millions of individuals and collect their publicly available heterogeneous behavioral data as well as social links. In addition, a nonparametric Bayesian approach is developed to model the lifestyle spectrum of a group of individuals. To demonstrate the effectiveness of LifeSpec, we conducted extensive experiments and case studies, with a large dataset we collected covering 1 million individuals from 493 cities. Our results suggest that LifeSpec offers a powerful paradigm for 1) revealing an individual's lifestyle from multiple dimensions, and 2) uncovering lifestyle commonalities and variations of a group with various demographic attributes, such as vocation, education, gender, sexual orientation, and place of residence. The proposed method provides emerging implications for personalized recommendation and targeted advertising.
Subjects 1705 Computer Networks and Communications
Keyword Lifespec
Lifestyle
Lifestyle spectrum
Living pattern
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Tue, 03 Dec 2013, 10:41:28 EST by System User on behalf of Scholarly Communication and Digitisation Service