Consumer Propensity and Location Analysis based Real-time Location Tracing Advertisement Service Design and Implementation - Real-time Location based Advertisement System

Daehee Won, Yoonsoo Kim, Hangki Joh, Intae Ryoo, Doungyung Suh

Abstract

While distributing Android free of charge, Google intended to expose its advertisements on the platforms to seize users’ eyes and make profits. However, smart phones are kept in bags or pockets during most of the time instead of showing screens in front of users’ eyes. If the time during which users’ eyes cannot be seized becomes longer advertisement effects will decrease as much. In this study, in order to solve these problems, consumers’ movement paths are grasped using continuous screens based on the results of analyses of consumer propensity to replay advertisement images. Advertisement image replay lists are composed of related advertisements based on the key words set by consumers. The relevant project was named as shADow meaning Advertisements that follow like shadows.

References

  1. C. A. Pomalaza-Raez, C. D. McGillem, “An adaptive, nonlinear edge-preserving filter,” IEEE Trans. on Acoustics and Signal Processing, pp. 571-576, 1984.
  2. Edward L. Melanson, Joan R. Knoll, Melanie L. Bell, William T. Donahoo, J. O. Hill, Lana J. Nysse, Lorraine Lanningham-Foster, John C. Peters, James A, Levine, “Commercially available pedometers: considerations for accurate step counting,” Preventive Medicine, vol. 39, pp. 361-368, Aug 2004.
  3. B. Robert, K. Pahlavan, “Site-specific RSS signature modeling for WiFi localization,” IEEE Global Telecommunications Conference, pp. 1-6, 2009.
  4. A. Kubber,“ Location based services”, Wiley and Sons, 2005.
  5. Korea Association for ICT Promotion, “LBS Technology and Market Trend report,” 2010.
  6. Hakyong Kim, “A speed-adaptive location estimator for wireless LAN-based RTLS systems,” The 12th AsiaPacific Conference on Communications 2006.
  7. P. Bahl and V. N. Padmanabhan, “RADAR: an inbuilding RF-based user location and tracking system,” in Proceedings of 19th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 7800), Vol. 2, pp.775-784, 2000.
  8. Y. S. Cho, S. Y. Cho, B. D. Kim, S. H. Lee, J. C. Kim, W. S. Choi, “Technical Trend of Indoor/Outdoor Seamless Positioning,” ETRI, pp. 20-28, 2007.
  9. Paul, A. S., Wan, E. A., “RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers,” Selected Topics in Signal Processing, IEEE Journal of, pp. 860-873, 2009.
  10. Mianbo Huang, Guoru Zhao, Lei Wang, “A Pervasive Simplified Method for Human Movement Pattern Assessing,” 2010 16th International Conference on Parallel and Distibuted Systems, pp. 625-628, 2010.
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Paper Citation


in Harvard Style

Won D., Kim Y., Joh H., Ryoo I. and Suh D. (2012). Consumer Propensity and Location Analysis based Real-time Location Tracing Advertisement Service Design and Implementation - Real-time Location based Advertisement System . In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012) ISBN 978-989-8565-25-9, pages 171-179. DOI: 10.5220/0004063201710179


in Bibtex Style

@conference{sigmap12,
author={Daehee Won and Yoonsoo Kim and Hangki Joh and Intae Ryoo and Doungyung Suh},
title={Consumer Propensity and Location Analysis based Real-time Location Tracing Advertisement Service Design and Implementation - Real-time Location based Advertisement System},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)},
year={2012},
pages={171-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004063201710179},
isbn={978-989-8565-25-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - Volume 1: SIGMAP, (ICETE 2012)
TI - Consumer Propensity and Location Analysis based Real-time Location Tracing Advertisement Service Design and Implementation - Real-time Location based Advertisement System
SN - 978-989-8565-25-9
AU - Won D.
AU - Kim Y.
AU - Joh H.
AU - Ryoo I.
AU - Suh D.
PY - 2012
SP - 171
EP - 179
DO - 10.5220/0004063201710179