Paper published in a book (Scientific congresses, symposiums and conference proceedings)
DeepCity: A Feature Learning Framework for Mining Location Check-Ins
Pang, Jun; Zhang, Yang
2017In Proceedings of the 11th International Conference on Web and Social Media (ICWSM'17)
Peer reviewed
 

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Disciplines :
Computer science
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
External co-authors :
yes
Language :
English
Title :
DeepCity: A Feature Learning Framework for Mining Location Check-Ins
Publication date :
2017
Event name :
11th International Conference on Web and Social Media (ICWSM)
Event date :
2017
Audience :
International
Main work title :
Proceedings of the 11th International Conference on Web and Social Media (ICWSM'17)
Publisher :
AAAI
Pages :
652-655
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 21 May 2017

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