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	coMobile: Real-time Human Mobility Modeling at Urban Scale by Multi-View Learning
	Desheng Zhang; Juanjuan Zhao; Fan Zhang; Tian He
	2015
会议名称	ACM SIGSPATIAL 2015
会议地点	Seattle, Washington, USA
英文摘要	Real-time human mobility modeling is essential to various urban applications. To model such human mobility,numerous data-driven techniques have been proposed.However, existing techniques are mostly driven by data from a single view, e.g., a transportation view or a cellphone view, which leads to over-fitting of these single-view models.To address this issue, we propose a human mobility modeling technique based on a generic multi-view learning framework called coMobile. In coMobile, we first improve the performance of single-view models based on tensor decomposition with correlated contexts, and then we integrate these improved single-view models together for multi-view learning to iteratively obtain mutually-reinforced knowledge for real-time human mobility at urban scale. We implement coMobile based on an extremely large dataset in the Chinese city Shenzhen, including data about taxi, bus and subway passengers along with cellphone users, capturing more than 27 thousand vehicles and 10 million urban residents. The evaluation results show that our approach outperforms a single-view model by 51% on average.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6999]
专题	深圳先进技术研究院_数字所
作者单位	2015
推荐引用方式 GB/T 7714	Desheng Zhang,Juanjuan Zhao,Fan Zhang,et al. coMobile: Real-time Human Mobility Modeling at Urban Scale by Multi-View Learning[C]. 见:ACM SIGSPATIAL 2015. Seattle, Washington, USA.

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