Improvements in practical aspects of optimally scheduling web advertising

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Improvements in practical aspects of optimally scheduling web advertising

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International World Wide Web Conference archive
Proceedings of the 11th international conference on World Wide Web table of contents

Honolulu, Hawaii, USA

SESSION: Advertising and Security for E-Commerence table of contents

Pages: 536 - 541

Year of Publication: 2002

ISBN:1-58113-449-5

Author

Atsuyoshi Nakamura

NEC Internet Systems Research Laboratories, Kawasaki, Japan

Sponsors

ACM: Association for Computing Machinery
: WWW'02

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 49, Citation Count: 4

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ABSTRACT

We addressed two issues concerning the practical aspects of optimally scheduling web advertising proposed by Langheinrich et al. [5], which scheduling maximizes the total number of click-throughs for all banner advertisements. One is the problem of multi-impressions in which two or more banner ads are impressed at the same time. The other is inventory management, which is important in order to prevent over-selling and maximize revenue. We propose efficient methods which deal with these two issues.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Naoki Abe , Atsuyoshi Nakamura, Learning to Optimally Schedule Internet Banner Advertisements, Proceedings of the Sixteenth International Conference on Machine Learning, p.12-21, June 27-30, 1999
	2	G. Bradley, G. Brown, and G. Graves. "design and implementation of a large scale primal transshipment algorithm". Management Science, 24:1--34, 1977.
	3	David Maxwell Chickering , David Heckerman, Targeted advertising with inventory management, Proceedings of the 2nd ACM conference on Electronic commerce, p.145-149, October 17-20, 2000, Minneapolis, Minnesota, United States [doi>10.1145/352871.352888]
	4	G. Dantzig. "Linear Programming and Extensions". Princeton University Press, 1963.
	5	Marc Langheinrich , Atsuyoshi Nakamura , Naoki Abe , Tomonari Kamba , Yoshiyuki Koseki, Unintrusive customization techniques for Web advertising, Computer Networks: The International Journal of Computer and Telecommunications Networking, v.31 n.11-16, p.1259-1272, May 17, 1999
	6	John A. Tomlin, An entropy approach to unintrusive targeted advertising on the Web, Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking, p.767-774, June 2000, Amsterdam, The Netherlands

CITED BY 4

	Takashi Oshiba , Yuichi Koike , Masahiro Tabuchi , Tomonari Kamba, Personalized advertisement-duration control for streaming delivery, Proceedings of the tenth ACM international conference on Multimedia, December 01-06, 2002, Juan-les-Pins, France
	Atsuyoshi Nakamura , Naoki Abe, Improvements to the Linear Programming Based Scheduling of Web Advertisements, Electronic Commerce Research, v.5 n.1, p.75-98, January 2005
	Przemysław Kazienko , Michał Adamski, AdROSA-Adaptive personalization of web advertising, Information Sciences: an International Journal, v.177 n.11, p.2269-2295, June, 2007
	Wan-Shiou Yang , Jia-Ben Dia, Discovering cohesive subgroups from social networks for targeted advertising, Expert Systems with Applications: An International Journal, v.34 n.3, p.2029-2038, April, 2008