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Incorporating popularity in topic models for social network..:

, In: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval,

Cha, Youngchul ; Bi, Bin ; Hsieh, Chu-Cheng. - p. 223-232 , 2013

Link: https://dl.acm.org/doi/10.1145/2484028.2484086

RT 
T1 <cTitle>Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval</cTitle>: T1 <Title>Incorporating popularity in topic models for social network analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2484086&Exemplar=1&LAN=DE
				
A1 Cha, Youngchul
A1 Bi, Bin
A1 Hsieh, Chu-Cheng
A1 Cho, Junghoo
PB ACM
YR 2013
K1 handling popular users
K1 latent dirichlet allocation
K1 popularity bias
K1 social-network analysis
K1 topic model
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Clustering and classification
K1 Information systems applications
K1 Data mining
K1 Clustering
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Social and professional topics
K1 Professional topics
K1 Management of computing and information systems
K1 Software management
K1 Software selection and adaptation
K1 Software and its engineering
K1 Software organization and properties
K1 Extra-functional properties
K1 Software performance
SP 223
OP 232
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2484028.2484086
DO https://dl.acm.org/doi/10.1145/2484028.2484086
SF ELIB - SuUB Bremen

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