AdNext: A visit-pattern-aware mobile advertising system for urban commercial complexes

HotMobile 2011: The 12th Workshop on Mobile Computing Systems and Applications

Volumn , Issue , 2011, Pages 7-12

  Kim, Byoungjip ^a   Ha, Jin Young ^b   Lee, Sang Jeong ^a   Kang, Seungwoo ^a   Lee, Youngki ^a   Rhee, Yunseok ^c   Nachman, Lama ^d   Song, Junehwa ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b KNU   (South Korea)

^c Hankuk University of Foreign Studies   (South Korea)

^d INTEL CORPORATION   (United States)

Author keywords

Mobile advertising; Prediction models; Sequential visit patterns; User survey; Wi Fi localization

Indexed keywords

BUSINESS MODELS; DATA SETS; ENABLING TECHNIQUES; INDOOR LOCALIZATION; KILLER-APPLICATION; MOBILE ADVERTISING; MOBILE APPLICATIONS; MOBILE COMMERCE; PREDICTION MODEL; PROBABILISTIC PREDICTION; SEQUENTIAL VISIT PATTERNS; SOUTH KOREA; USER SURVEYS;

MARKETING; MOBILE COMPUTING; SMARTPHONES; WI-FI;

MATHEMATICAL MODELS;

EID: 84860781437     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2184489.2184492     Document Type: Conference Paper

References (23)

1. AdMob. http://www.admob.com/
2. COEX Mall. http://www.coex.co.kr/eng/index.asp
3. CRF software package. http://crf.sourceforge.net/
4. Mobile Advertising Spending. http://www.emarketer.com
5. Shopkick. http://www.shopkick.com
6. Weka 3. http://www.cs.waikato.ac.nz/ml/weka/
7. WHERE Ads. http://site.where.com/where-ads/
8. D. Ashbrook, T. Starner, "Using GPS to learn significant locations and predict movement across multiple users", Personal Ubiquitous Computing, vol.7, p275-286, 2003.
9. L. Alto, N. Gothlin, J. Korhonen, T. Ojala, "Bluetooth and WAP Push Based Location-Aware Advertising System", ACM MobiSys 2004.
10. A. P. Dempster, N. M. Laird, D. B. Rubin, "Maximum-likelihood from incomplete data via the EM Algorithm", Journal of the Royal Statistical Society, 39, 1977.
11. M. J. Druzdzel, "SMILE: Structural Modeling, Inference, and Learning Engine and GeNIe: A Development Environment for Graphical Decision-Theoretic Models", AAAI 1999.
12. B. Hoh, M. Gruteser, H. Xiong, and A. Alrabady, "Preserving Privacy in GPS Traces via Uncertainty-Aware Path Cloaking", ACM CCS 2007.
13. U. B. Kjaerulff, A. L. Madsen, "Probabilistic Networks: An Introduction to Bayesian Networks and Influence Diagrams", Springer 2005.
14. st Century", IEEE Pervasive 2010.
15. L. Liao, D. Fox, H. Kautz, "Location-based Activity Recognition using Relational Markov Networks", IJCAI 2005.
16. C. Narayanaswami, D. Coffman, M. Lee, Y. Moon, J. Han, H. Jang, S. McFaddin, Y. Paik, J. Kim, J. Lee, J. Park, D. Soroker, "Pervasive Symbiotic Advertising", ACM HotMobile 2008.
17. M. Lee, H. Yang, D. Han, C. Yu, "Crowdsourced Radiomap for Room-Level Recognition in Urban Environment", IEEE PerCom workshop 2010.
18. A.Y. Ng, M.I. Jordan, "On discriminative vs. generative classifiers: A comparison of logistic regression and Naïve Bayes", NIPS 2002.
19. D. J. Patterson, L. Liao, D. Fox, H. Kautz, "Inferring High-Level Behavior from Low-Level Sensors", ACM UbiComp 2003.
20. M. C. Sala, K. Partridge, L. Jacobson, J. B. Begole, "An Exploration into Activity-Informed Physical Advertising Using PEST", Pervasive 2007.
21. L. Sweeney, "Achieving k-anonymity privacy protection using generalization and suppression", International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10(5): 571-588, 2002. (Pubitemid 35384858)
22. th ed. Pearson, 2005.
23. J. Yan, N. Liu, G. Wang, W. Zhang, Y. Jiang, Z. Chen, "How much can Behavioral Targeting Help Online Advertising?", WWW 2009.