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Leveraging Cross-Network Information for Graph Sparsificati..:

, In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Shen, Xiao ; Chung, Fu-lai ; Mao, Sitong - p. 801-804 , 2017

Link: https://dl.acm.org/doi/10.1145/3077136.3080646

RT 
T1 <cTitle>Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3080646&Exemplar=1&LAN=DE
				
A1 Shen, Xiao
A1 Chung, Fu-lai
A1 Mao, Sitong
PB ACM
YR 2017
K1 cross-network
K1 domain adaptation
K1 feature incompatibility
K1 graph sparsification
K1 influence maximization
K1 self-training
K1 Information systems
K1 World Wide Web
K1 Web applications
K1 Social networks
K1 Information retrieval
K1 Retrieval models and ranking
K1 Rank aggregation
K1 Learning to rank
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Ranking
K1 Supervised learning by regression
K1 Learning settings
K1 Semi-supervised learning settings
K1 Multi-task learning
K1 Transfer learning
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Top-k retrieval in databases
SP 801
OP 804
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3077136.3080646
DO https://dl.acm.org/doi/10.1145/3077136.3080646
SF ELIB - SuUB Bremen

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