Using self-histories to predict store visits in indoor retail environments for mobile advertising: a ranked-based technique

Barzaiq, Osama O. and Loke, Seng W. 2016, Using self-histories to predict store visits in indoor retail environments for mobile advertising: a ranked-based technique, in SWC 2015 : Proceedings of the 2015 Smart World Congress, IEEE, Piscataway, N.J., pp. 1698-1705, doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.309.

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Title Using self-histories to predict store visits in indoor retail environments for mobile advertising: a ranked-based technique
Author(s) Barzaiq, Osama O.
Loke, Seng W.ORCID iD for Loke, Seng W. orcid.org/0000-0001-9568-5230
Conference name Smart World Congress (2015 : Beijing, China)
Conference location Beijing, China
Conference dates 2015/08/10 - 2015/08/14
Title of proceedings SWC 2015 : Proceedings of the 2015 Smart World Congress
Editor(s) Ma, Jianhua
Yang, Laurence T.
Ning, Huansheng
Li, Ali
Publication date 2016
Conference series Smart World Congress
Start page 1698
End page 1705
Total pages 8
Publisher IEEE
Place of publication Piscataway, N.J.
Notes This conference is a collective title for the following conferences that have been combined to form the Smart World Congress : 2015 IEEE 12th International Conference on Ubiquitous Intelligence & Computing, 2015 IEEE 12th International Conference on Advanced & Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications and Its Associated Workshops, 2015 IEEE International Conference on Cloud and Big Data Computing and the 2015 IEEE International Conference on Internet of People
ISBN 9781467372114
Language eng
DOI 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.309
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30103540

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