Improvements in practical aspects of optimally scheduling web advertising

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Improvements in practical aspects of optimally scheduling web advertising

Full text

Pdf (467 KB)

Source

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): n/a, Downloads (12 Months): n/a, Citation Count: 4

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/511446.511516 What is a DOI?

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