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1 Ergebnisse
1
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
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
Leveraging Cross-Network Information for Graph Sparsification in Influence Maximization
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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