IMaxer: A unified system for evaluating influence maximization mechanisms in location-based social networks

Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)
OriginalsprogEngelsk
TitelCIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management
Antal sider4
ForlagAssociation for Computing Machinery
Publikationsdato6 nov. 2017
Sider2523-2526
ISBN (Elektronisk)978-1-4503-4918-5
DOI
StatusUdgivet - 6 nov. 2017
Begivenhed26th ACM International Conference on Information and Knowledge Management, CIKM 2017 - Singapore, Singapore
Varighed: 6 nov. 201710 nov. 2017

Konference

Konference26th ACM International Conference on Information and Knowledge Management, CIKM 2017
LandSingapore
BySingapore
Periode06/11/201710/11/2017
SponsorACM SIGWEB, Special Interest Group on Information Retrieval (ACM SIGIR)
NavnConference on Information and Knowledge Management

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Citationsformater

Saleem, M. A., Kumar, R., Calders, T., Xie, X., & Pedersen, T. B. (2017). IMaxer: A unified system for evaluating influence maximization mechanisms in location-based social networks. I CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management (s. 2523-2526). Association for Computing Machinery. Conference on Information and Knowledge Management https://doi.org/10.1145/3132847.3133184