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Comparing predicted prices in auctions for online advertising
Authors:Eric Bax  Anand Kuratti
Institution:
  • a Yahoo! Marketplace Architecture, 3333 Empire Blvd., Burbank, CA 91504, USA
  • b Yahoo! Software Development India Pvt. Ltd., Torrey Pines, Embassy Golflink Business Parks, Off Koramangala-Indiranagar, Intermediate Ring Road, 560 071, India
  • c Yahoo! Research, 3333 Empire Blvd., Burbank, CA 91504, USA
  • d Purdue University 100 S. Grant St. West Lafayette, IN 47907, USA
  • Abstract:Online publishers sell opportunities to show ads. Some advertisers pay only if their ad elicits a user response. Publishers estimate response rates for ads in order to estimate expected revenues from showing the ads. Then publishers select ads that maximize estimated expected revenue.By taking a maximum among estimates, publishers inadvertently select ads based on a combination of actual expected revenue and inaccurate estimation of expected revenue. Publishers can increase actual expected revenue by selecting ads to maximize a combination of estimated expected revenue and estimation accuracy.
    Keywords:C13  C44  C45  D81  D84
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