Rationality Analytics from Trajectories

doi:10.1145/2735634

	Rationality Analytics from Trajectories
	Liu, Siyuan 1; Qu, Qiang 2; Wang, Shuhui 3
	2015-07-01
发表期刊	ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA
ISSN	1556-4681
卷号	10 期号:1 页码:22
摘要	The availability of trajectories tracking the geographical locations of people as a function of time offers an opportunity to study human behaviors. In this article, we study rationality from the perspective of user decision on visiting a point of interest (POI) which is represented as a trajectory. However, the analysis of rationality is challenged by a number of issues, for example, how to model a trajectory in terms of complex user decision processes? and how to detect hidden factors that have significant impact on the rational decision making? In this study, we propose Rationality Analysis Model (RAM) to analyze rationality from trajectories in terms of a set of impact factors. In order to automatically identify hidden factors, we propose a method, Collective Hidden Factor Retrieval (CHFR), which can also be generalized to parse multiple trajectories at the same time or parse individual trajectories of different time periods. Extensive experimental study is conducted on three large-scale real-life datasets (i.e., taxi trajectories, user shopping trajectories, and visiting trajectories in a theme park). The results show that the proposed methods are efficient, effective, and scalable. We also deploy a system in a large theme park to conduct a field study. Interesting findings and user feedback of the field study are provided to support other applications in user behavior mining and analysis, such as business intelligence and user management for marketing purposes.
关键词	Design Algorithms Performance Rationality analytics trajectory decision model
DOI	10.1145/2735634
收录类别	SCI
语种	英语
资助项目	Russian Science Foundation[15-11-10032] ; National Basic Research Program of China (973 Program)[2015CB352400] ; National Basic Research Program of China (973 Program)[2012CB316400] ; Basic Research Program of Shenzhen[JCYJ20140610152828686] ; Google Faculty Research Award
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000358782000010
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9525
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Siyuan
作者单位	1.Penn State Univ, Smeal Coll Business, University Pk, PA 16802 USA 2.Innopolis Univ, Dept Comp Sci, Kazan 420111, Russia 3.Chinese Acad Sci, Inst Comp Technol, Key Lab Intellectual Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Liu, Siyuan,Qu, Qiang,Wang, Shuhui. Rationality Analytics from Trajectories[J]. ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,2015,10(1):22.
APA	Liu, Siyuan,Qu, Qiang,&Wang, Shuhui.(2015).Rationality Analytics from Trajectories.ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA,10(1),22.
MLA	Liu, Siyuan,et al."Rationality Analytics from Trajectories".ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 10.1(2015):22.