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Personal destination pattern analysis with applications to mobile advertising

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journal contribution
posted on 2016-12-01, 00:00 authored by O O Barzaiq, Seng LokeSeng Loke
AbstractMany 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 () 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 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 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 algorithm with a synthetic dataset of a virtual mall and a real GPS dataset.

History

Journal

Human-centric Computing and Information Sciences

Volume

6

Issue

1

Article number

ARTN 17

Publisher

SPRINGEROPEN

eISSN

2192-1962

Language

English

Publication classification

C Journal article; C1.1 Refereed article in a scholarly journal

Copyright notice

2016, The Authors