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  1. Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising (ADKDD '07)
  2. Pay-per-action model for online advertising
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Pay-per-action model for online advertising
More bang for their bucks: assessing new features for online advertisers
The economics of attention: maximizing user value in information-rich environments
A noisy-channel approach to contextual advertising
Sensitive webpage classification for content advertising
Sentiment classification with interpolated information diffusion kernels
Extracting opinion topics for Chinese opinions using dependence grammar
Discovering information diffusion paths from blogosphere for online advertising
Finding keyword from online broadcasting content for targeted advertising
From TV to online advertising: recent experience from the Spanish media

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Pay-per-action model for online advertising

Content Provider ACM Digital Library
Author Tomak, Kerem Mahdian, Mohammad
Abstract The online advertising industry is currently based on two dominant business models: the pay-per-impression model and the pay-per-click model. With the growth of sponsored search during the last few years, there has been a move toward the pay-per-click model as it decreases the risk to small advertisers. An alternative model, discussed but not widely used in the advertising industry, is pay-per-conversion, or more generally, pay-per-action. In this paper, we discuss mechanisms for the pay-per-action model and various challenges involved in designing such mechanisms.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781595938336
DOI 10.1145/1348599.1348600
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-08-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Pay-per-conversion Mechanism design Online advertising Sponsored search
Content Type Text
Resource Type Article
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