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Models of malicious behavior in sponsored search
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Source Spring Simulation Multiconference archive
Proceedings of the 2007 spring simulation multiconference - Volume 3 table of contents
Norfolk, Virginia
SESSION: Business simulation table of contents
Pages 143-151  
Year of Publication: 2007
ISBN:1-56555-314-4
Authors
Garud lyengar  Columbia University, New York, NY
David Phillips  College of William & Mary, Williamsburg, VA
Cliff Stein  Columbia University, New York, NY
Sponsors
SCS : Society for Modeling and Simulation International
ACM/SIGSIM : Association for Computing Machinery/Special Interest Group on Simulation
Publisher
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 22,   Citation Count: 0
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ABSTRACT

Search engines such as Google, Yahoo, and MSN now auction off search terms to potential advertisers. The potential advertisers place their bids on each search term of interest, as well as specifying a daily budget. Each search on this term displays an advertisement that is linked to the advertiser's website, and the advertiser pays the search engine every time the link is activated. When an advertiser's budget is reached, the search engine stops displaying their ad. This kind of advertising is extremely popular -- the combined revenue of Yahoo and Google in 2005 was estimated at over 4.5 billion dollars. We develop small models which still have the property that malicious behavior such as bid-jamming still occurs as a rational best-response strategy. Such malicious behavior occurs frequently in practice. We are able to derive bidding strategies which are the best-responses when the budget of the bidder is low relative to her competitors, as well as strategies which protect against bid-jamming.


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:
Garud lyengar: colleagues
David Phillips: colleagues
Cliff Stein: colleagues