Comparing predicted prices in auctions for online advertising

被引:4
|
作者
Bax, Eric [1 ]
Kuratti, Anand
Mcafee, Preston [2 ]
Romero, Julian [3 ]
机构
[1] Yahoo Marketplace Architecture, Burbank, CA 91504 USA
[2] Yahoo Res, Burbank, CA 91504 USA
[3] Purdue Univ, W Lafayette, IN 47907 USA
关键词
Reversion; Validation; Bias; Auction; Prediction; BINOMIAL PROPORTION; INTERVAL ESTIMATION; INFORMATION; CONFIDENCE; ESTIMATORS; SELECTION; STANDARD;
D O I
10.1016/j.ijindorg.2011.06.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2011 Elsevier B.V. All rights reserved.
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页码:80 / 88
页数:9
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