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	Aggregate location recommendation in dynamic transportation networks
	Li, Jianmin1; Wang, Yan1; Zhong, Ying1; Guo, Danhuai2,3,4; Zhu, Shunzhi1
刊名	World wide web-internet and web information systems
	2018-11-01
卷号	21期号:6页码:1637-1653
关键词	Location recommendation Travel planning Dynamic transportation networks Spatio-temporal databases
ISSN号	1386-145X
DOI	10.1007/s11280-017-0496-3
通讯作者	Zhu, shunzhi(szzhu@xmut.edu.cn)
英文摘要	Travel planning and location recommendation are increasingly important in recent years. in this light, we propose and study a novel aggregate location recommendation query (alrq) of discovering aggregate locations for multiple travelers and planning the corresponding travel routes in dynamic transportation networks. assuming the scenario that multiple travelers target the same destination, given a set of travelers' locations q, a set of potential aggregate location o, and a departure time t, the alrq finds an aggregate location o o that has the minimum global travel time where t(q,o,t) is the travel time between o and q with departure time t. the alrq problem is challenging due to three reasons: (1) how to model the dynamic transportation networks practically, and (2) how to compute alrq efficiently. we take two types of dynamic transportation networks into account, and we define a pair of upper and lower bounds to prune the search space effectively. moreover, a heuristic scheduling strategy is adopted to schedule multiple query sources. finally, we conducted extensive experiments on real and synthetic spatial data to verify the performance of the developed algorithms.
WOS关键词	NEAREST-NEIGHBOR QUERIES ; AWARE SPATIAL NETWORKS ; GATHERING PATTERNS ; TRAJECTORIES ; DISCOVERY ; SPARSE
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000449485200012
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2374272
专题	计算机网络信息中心
通讯作者	Zhu, Shunzhi
作者单位	1.Xiamen Univ Technol, Sch Comp & Informat Engn, Xiamen, Peoples R China 2.Shenzhen Univ, Guangdong Prov Key Lab Popular High Performance C, 3688 Nanhai Ave, Shenzhen 518060, Guangdong, Peoples R China 3.Shenzhen Univ, Guangdong Prov Big Data Collaborat Innovat Ctr, 3688 Nanhai Ave, Shenzhen 518060, Guangdong, Peoples R China 4.Chinese Acad Sci, CNIC, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Jianmin,Wang, Yan,Zhong, Ying,et al. Aggregate location recommendation in dynamic transportation networks[J]. World wide web-internet and web information systems,2018,21(6):1637-1653.
APA	Li, Jianmin,Wang, Yan,Zhong, Ying,Guo, Danhuai,&Zhu, Shunzhi.(2018).Aggregate location recommendation in dynamic transportation networks.World wide web-internet and web information systems,21(6),1637-1653.
MLA	Li, Jianmin,et al."Aggregate location recommendation in dynamic transportation networks".World wide web-internet and web information systems 21.6(2018):1637-1653.

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