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Managing the quality of CPC traffic
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Electronic Commerce archive
Proceedings of the tenth ACM conference on Electronic commerce table of contents
Stanford, California, USA
SESSION: Session 7 table of contents
Pages 215-224  
Year of Publication: 2009
ISBN:978-1-60558-458-4
Authors
Bobji Mungamuru  Stanford University, Stanford, CA, USA
Hector Garcia-Molina  Stanford University, Stanford, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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ABSTRACT

We show how an online advertising network can use filtering, predictive pricing and revenue sharing together to manage the quality of cost-per-click (CPC) traffic. Our results suggest that predictive pricing alone can and should be used instead of filtering to manage organic traffic quality, whereas either method can be used to deter click inflation.


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.

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Collaborative Colleagues:
Bobji Mungamuru: colleagues
Hector Garcia-Molina: colleagues