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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| Published in: | Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 pp. 115 - 118 |
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| Main Authors: | , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
New York, NY, USA
ACM
31.07.2017
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| Series: | ACM Conferences |
| Subjects: |
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
> Visualization application domains
> Geographic visualization
Information systems
> Information systems applications
> Spatial-temporal systems
> Geographic information systems
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| ISBN: | 1450349935, 9781450349932 |
| Online Access: | Get full text |
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