Exploring communities for effective location prediction

Reference : Exploring communities for effective location prediction


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/21328

Title :	Exploring communities for effective location prediction
Language :	English
Author, co-author :	Pang, Jun [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
	Zhang, Yang [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2015
Main document title :	Proceedings of the 24th World Wide Web Conference
Publisher :	ACM
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	24th World Wide Web Conference (WWW)
Event date :	2015
Target :	Researchers ; Students
Permalink :	http://hdl.handle.net/10993/21328

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	WWW15.pdf		Author preprint	371.1 kB	Request a copy

All documents in ORBi^lu are protected by a user license.