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Towards a pay-per-action model in sponsored search
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ACM International Conference Proceeding Series; Vol. 258 archive
Proceedings of the ninth international conference on Electronic commerce table of contents
Minneapolis, MN, USA
SESSION: Session M4: sponsored search on the internet I table of contents
Pages: 87 - 88  
Year of Publication: 2007
ISBN:978-1-59593-700-1
Authors
Mohammad Mahdian  Yahoo! Inc., Santa Clara, CA
Kerem Tomak  Yahoo! Inc., Santa Clara, CA
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

The online advertising industry is currently based on two dominant business models: the pay-per-impression model and the pay-per-click model. These pricing models aim to address two dimensions of an advertisers' objective function: brand awareness and sales generation. An alternative model, discussed but not widely used in the advertising industry, is pay-per-conversion, or more generally, pay-per-action. In this note, we discuss mechanisms for the pay-per-action model and various challenges involved in designing such mechanisms.


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
Forrester Research, US Online Marketing Forecast: 2005 to 2010, May 2, 2005.
 
2
N. Immorlica, K. Jain, M. Mahdian, and K. Talwar, Click Fraud Resistant Methods for Learning Click-Through Rates, Workshop on Internet and Network Economics (WINE), Hong Kong, 2005.


Collaborative Colleagues:
Mohammad Mahdian: colleagues
Kerem Tomak: colleagues