[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1821748.1821793acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmommConference Proceedingsconference-collections
short-paper

Personal advertisement allocation for mobile TV

Published: 14 December 2009 Publication History

Abstract

Personal advertisements are the next-generation in the world of advertisement. In this article we consider the personal advertisement allocation problem with constraints that are motivated by the TV and Mobile advertisement worlds. This problem is a version of the Generalized Multi-Assignment Problem, defined as an extension of GAP with assignment restrictions and all-or-nothing constraints. We present an Integer Programming (IP) model of the problem, prove that it is an NP-hard problem, and propose heuristic algorithms to solve it. Through computational experiments, we compare the performance of these heuristics to solutions obtained with IP solvers. We show that the Backtrack Heuristic outperforms the others and on average it attains 98% of the possible revenue. Though this paper is Mobile TV oriented, the results suit any other personal advertisement "push" method in the mobile market such as SMS (Short Message Service) and MMS (Multimedia Messaging Service).

References

[1]
L. Aalto, N. Göthlin, J. Korhonen, and T. Ojala. Bluetooth and WAP push based location-aware mobile advertising system. In Proceedings of MobiSys 2004, pages 49--58. ACM New York, NY, USA, 2004.
[2]
T. Bozios, G. Lekakos, V. Skoularidou, and K. Chorianopoulos. Advanced Techniques for Personalized Advertising in a Digital TV Environment: The iMEDIA System. In Proc. of the eBusiness and eWork Conference, Venice, Italy, 2001.
[3]
K. Chorianopoulos. Personalized and mobile digital TV applications. Multimedia Tools and Applications, 36(1):1--10, 2008.
[4]
M. Dawande, J. Kalagnanam, P. Keskinocak, F. Salman, and R. Ravi. Approximation Algorithms for the Multiple Knapsack Problem with Assignment Restrictions. Journal of Combinatorial Optimization, 4(2):171--186, 2000.
[5]
D. Gilbert. The American Class Structure in an Age of Growing Inequality. Wadsworth Publishing, 2002.
[6]
Google AdWards. http://adwords.google.com.
[7]
O. E. Kundakcioglu and S. Alizamir. Generalized Assignment Problem. In C. A. Floudas and P. M. Pardalos, editors, Encyclopedia of Optimization, pages 1153--1162. Springer, 2009.
[8]
Negev consortium. http://www.negev-initiative.org.
[9]
Z. Nutov, I. Beniaminy, and R. Yuster. A (1--1/e)-approximation algorithm for the generalized assignment problem. Operations Research Letters, 34(3):283--288, 2006.
[10]
J. Park, B. Lim, and Y. Lee. A Lagrangian dual-based branch-and-bound algorithm for the generalized multi-assignment problem. Management Science, 44:271--282, 1998.
[11]
L. Paulson. TV comes to the mobile phone. Computer, 39(4):13--16, 2006.
[12]
K. Pramataris, D. Papakyriakopoulos, G. Lekakos, and N. Mulonopoulos. Personalized Interactive TV Advertising: The iMEDIA Business Model. Electronic Markets, 11:1--9, 2001.
[13]
R. Rettie, U. Grandcolas, and B. Deakins. Text message advertising: Response rates and branding effects. Journal of Targeting, Measurement and Analysis for Marketing, 13(4):304--312, 2005.
[14]
SintecMedia. http://www.sintecmedia.com.
[15]
U. Varshney and R. Vetter. Mobile commerce: framework, applications and networking support. Mobile Networks and Applications, 7(3):185--198, 2002.
[16]
H. Yunos, J. Gao, and S. Shim. Wireless advertising's challenges and opportunities. Computer, pages 30--37, 2003.

Cited By

View all
  • (2010)Uncertain personal advertisement allocation for Mobile TVProceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia10.1145/1971519.1971548(159-166)Online publication date: 8-Nov-2010

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
MoMM '09: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
December 2009
663 pages
ISBN:9781605586595
DOI:10.1145/1821748
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Johannes Kepler University

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 December 2009

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Short-paper

Conference

MoMM '09
Sponsor:

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Mar 2025

Other Metrics

Citations

Cited By

View all
  • (2010)Uncertain personal advertisement allocation for Mobile TVProceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia10.1145/1971519.1971548(159-166)Online publication date: 8-Nov-2010

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media