Towards Diversified Local Users Identification Using Location Based Social Networks

Identifying a set of diversified users who are local residents in a city is an important task for a wide spectrum of applications such as target ads of local business, surveys and interviews, and personalized recommendations. While many previous studies have investigated the problem of identifying t...

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Veröffentlicht in:	Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 S. 115 - 118
Hauptverfasser:	Huang, Chao, Wang, Dong, Zhu, Shenglong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 31.07.2017
Schriftenreihe:	ACM Conferences
Schlagworte:	Human-centered computing Human-centered computing > Collaborative and social computing Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms > Social networks Human-centered computing > Visualization Human-centered computing > Visualization > Visualization application domains Human-centered computing > Visualization > Visualization application domains > Geographic visualization Information systems Information systems > Information retrieval Information systems > Information systems applications Information systems > Information systems applications > Data mining Information systems > Information systems applications > Spatial-temporal systems Information systems > Information systems applications > Spatial-temporal systems > Geographic information systems Information systems > Information systems applications > Spatial-temporal systems > Location based services Location Based Social Networks Diversified Local Users Foursquare
ISBN:	1450349935, 9781450349932
Online-Zugang:	Volltext
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