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Predicting the Popularity of Online Content with Group-spec..:

, In: Proceedings of the 26th International Conference on World Wide Web Companion,

Cao, Qi ; Shen, Huawei ; Gao, Hao.. - p. 765-766 , 2017

Link: https://dl.acm.org/doi/10.1145/3041021.3054242

RT 
T1 <cTitle>Proceedings of the 26th International Conference on World Wide Web Companion</cTitle>: T1 <Title>Predicting the Popularity of Online Content with Group-specific Models</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3054242&Exemplar=1&LAN=DE
				
A1 Cao, Qi
A1 Shen, Huawei
A1 Gao, Hao
A1 Gao, Jinhua
A1 Cheng, Xueqi
PB International World Wide Web Conferences Steering Committee
YR 2017
K1 information cascades
K1 popularity prediction
K1 social media
K1 Information systems
K1 World Wide Web
K1 Web applications
K1 Social networks
K1 Networks
K1 Network types
K1 Overlay and other logical network structures
K1 Social media networks
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Social media
K1 Collaborative and social computing design and evaluation methods
K1 Social network analysis
SP 765
OP 766
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3041021.3054242
DO https://dl.acm.org/doi/10.1145/3041021.3054242
SF ELIB - SuUB Bremen

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