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SPOT: Locating Social Media Users Based on Social Network Context Longbo Kong Zhi Liu
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Document Date: 2014-08-02 22:17:25


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City

Hangzhou / /

Company

Creative Commons / Twitter / Google / Facebook / /

Country

China / /

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Facility

Social Network Context Longbo Kong Zhi Liu Yan Huang University of North Texas / University of North Texas / /

IndustryTerm

estimation algorithms / large scale social media datasets / energy function / social media information / smart transportation / social media / location estimation algorithms / social media sites / location-based social network / on-line social networking / data mining / Web search / social computing / social networks / social media texts / social network / social media platform / energy method / location-based social networks / social network applications / energy / performing on large scale social media datasets / /

Organization

VLDB Endowment / University of North Texas / /

Person

Eric Sun / Rui Wang / Eunjoon Cho / Gisele L Pappa / Daniel Romero / Jure Leskovec / Lars Backstrom / Zhiyuan Cheng / Seth A Myers / James Caverlee / Kyumin Lee / Bernardo Huberman / Clodoveu A Davis Jr / Cameron Marlow / Henry Kautz / Adam Sadilek / Hongbo Deng / Kevin Chen-Chuan Chang / Jeffrey P Bigham / Shengjie Wang / Rui Li / Zhi Liu Yan / /

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Position

discriminative influence model for inferring home locations / /

Region

North Texas / /

Technology

three algorithms / knowledge management / API / data mining / location estimation algorithms / machine learning / estimation algorithms / two algorithms / /

URL

http /

SocialTag