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