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Personal destination pattern analysis with applications to mobile advertising

Barzaiq, Osama O and Loke, Seng W 2016, Personal destination pattern analysis with applications to mobile advertising, Human-centric computing and information sciences, vol. 6, pp. 1-29, doi: 10.1186/s13673-016-0073-2.

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Title Personal destination pattern analysis with applications to mobile advertising
Author(s) Barzaiq, Osama O
Loke, Seng WORCID iD for Loke, Seng W orcid.org/0000-0001-9568-5230
Journal name Human-centric computing and information sciences
Volume number 6
Article ID 17
Start page 1
End page 29
Total pages 29
Publisher SpringerOpen
Place of publication London, Eng.
Publication date 2016-12
ISSN 2192-1962
Keyword(s) Personal destinations pattern analysis
Mobile advertising
Human mobility
D-trajectory prediction
Summary Many researchers expect mobile advertising to be the killer application in mobile business. In this paper, we introduce a trajectory prediction algorithm called personal destination pattern analysis (P-DPA) to analyse the different destinations in various trajectories of an individual, and to predict a trajectory or a set of destinations that could be visited by that individual. The P-DPA algorithm works on an individual level. Every destination-pattern analysis is related to the self-history and the personal profile of a targeted individual, not on what others do. In addition, we developed a prototype system called SmartShopper. SmartShopper is a personal destination-pattern-aware pervasive system for mobile advertising in (outdoor and indoor) retail environments. The predicted destinations from the P-DPA algorithm will be used by SmartShopper to generate a list of relevant advertisements adapted to the personal profile of previous destinations of a targeted individual. We tested the destination prediction accuracy of the P-DPA algorithm with a synthetic dataset of a virtual mall and a real GPS dataset.
Language eng
DOI 10.1186/s13673-016-0073-2
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30096154

Document type: Journal Article
Collections: School of Information Technology
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.