Google's auction for TV ads

Noam Nisan; Jason Bayer; Deepak Chandra; Tal Franji; Robert Gardner; Yossi Matias; Neil Rhodes; Misha Seltzer; Danny Tom; Hal Varian; Dan Zigmond

doi:10.1007/978-3-642-02930-1_26

Google's auction for TV ads

Noam Nisan^*, Jason Bayer, Deepak Chandra, Tal Franji, Robert Gardner, Yossi Matias, Neil Rhodes, Misha Seltzer, Danny Tom, Hal Varian, Dan Zigmond

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

33 Scopus citations

Abstract

This document describes the auction system used by Google for allocation and pricing of TV ads. It is based on a simultaneous ascending auction, and has been in use since September 2008.

Original language	English
Title of host publication	Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings
Pages	309-327
Number of pages	19
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-02930-1_26
State	Published - 2009
Event	36th International Colloquium on Automata, Languages and Programming, ICALP 2009 - Rhodes, Greece Duration: 5 Jul 2009 → 12 Jul 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5556 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	36th International Colloquium on Automata, Languages and Programming, ICALP 2009
Country/Territory	Greece
City	Rhodes
Period	5/07/09 → 12/07/09

Access to Document

10.1007/978-3-642-02930-1_26

Cite this

Nisan, N., Bayer, J., Chandra, D., Franji, T., Gardner, R., Matias, Y., Rhodes, N., Seltzer, M., Tom, D., Varian, H., & Zigmond, D. (2009). Google's auction for TV ads. In Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings (PART 2 ed., pp. 309-327). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5556 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-02930-1_26

@inproceedings{c2bf9ebfbd32409ea1f312462ea30073,

title = "Google's auction for TV ads",

abstract = "This document describes the auction system used by Google for allocation and pricing of TV ads. It is based on a simultaneous ascending auction, and has been in use since September 2008.",

author = "Noam Nisan and Jason Bayer and Deepak Chandra and Tal Franji and Robert Gardner and Yossi Matias and Neil Rhodes and Misha Seltzer and Danny Tom and Hal Varian and Dan Zigmond",

year = "2009",

doi = "10.1007/978-3-642-02930-1_26",

language = "אנגלית",

isbn = "3642029299",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "309--327",

booktitle = "Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings",

edition = "PART 2",

note = "36th International Colloquium on Automata, Languages and Programming, ICALP 2009 ; Conference date: 05-07-2009 Through 12-07-2009",

}

Nisan, N, Bayer, J, Chandra, D, Franji, T, Gardner, R, Matias, Y, Rhodes, N, Seltzer, M, Tom, D, Varian, H & Zigmond, D 2009, Google's auction for TV ads. in Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5556 LNCS, pp. 309-327, 36th International Colloquium on Automata, Languages and Programming, ICALP 2009, Rhodes, Greece, 5/07/09. https://doi.org/10.1007/978-3-642-02930-1_26

Google's auction for TV ads. / Nisan, Noam; Bayer, Jason; Chandra, Deepak et al.
Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings. PART 2. ed. 2009. p. 309-327 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5556 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Google's auction for TV ads

AU - Nisan, Noam

AU - Bayer, Jason

AU - Chandra, Deepak

AU - Franji, Tal

AU - Gardner, Robert

AU - Matias, Yossi

AU - Rhodes, Neil

AU - Seltzer, Misha

AU - Tom, Danny

AU - Varian, Hal

AU - Zigmond, Dan

PY - 2009

Y1 - 2009

N2 - This document describes the auction system used by Google for allocation and pricing of TV ads. It is based on a simultaneous ascending auction, and has been in use since September 2008.

AB - This document describes the auction system used by Google for allocation and pricing of TV ads. It is based on a simultaneous ascending auction, and has been in use since September 2008.

UR - http://www.scopus.com/inward/record.url?scp=70449103323&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-02930-1_26

DO - 10.1007/978-3-642-02930-1_26

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:70449103323

SN - 3642029299

SN - 9783642029295

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 309

EP - 327

BT - Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings

T2 - 36th International Colloquium on Automata, Languages and Programming, ICALP 2009

Y2 - 5 July 2009 through 12 July 2009

ER -

Nisan N, Bayer J, Chandra D, Franji T, Gardner R, Matias Y et al. Google's auction for TV ads. In Automata, Languages and Programming - 36th International Colloquium, ICALP 2009, Proceedings. PART 2 ed. 2009. p. 309-327. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-02930-1_26

Google's auction for TV ads

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this