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AdKDD@KDD 2007: San Jose, CA, USA

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Ying Li:
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising, ADKDD '07, San Jose, California, USA, August 12, 2007. ACM 2007, ISBN 978-1-59593-833-6
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  - conf/adkdd/MahdianT07
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Mohammad Mahdian, Kerem Tomak:
Pay-per-action model for online advertising. 1-6
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  - conf/adkdd/LambertP07
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Diane Lambert, Daryl Pregibon:
More bang for their bucks: assessing new features for online advertisers. 7-15
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  - conf/adkdd/HubermanW07
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Bernardo A. Huberman, Fang Wu:
The economics of attention: maximizing user value in information-rich environments. 16-20
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Vanessa Murdock, Massimiliano Ciaramita, Vassilis Plachouras:
A noisy-channel approach to contextual advertising. 21-27
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  - conf/adkdd/JinLMT07
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Xin Jin, Ying Li, Teresa Mah, Jie Tong:
Sensitive webpage classification for content advertising. 28-33
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  - conf/adkdd/Raaijmakers07
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Stephan Raaijmakers:
Sentiment classification with interpolated information diffusion kernels. 34-39
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Guang Qiu, Kangmiao Liu, Jiajun Bu, Chun Chen, Zhiming Kang:
Extracting opinion topics for Chinese opinions using dependence grammar. 40-45
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  - conf/adkdd/StewartCPN07
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Avaré Stewart, Ling Chen, Raluca Paiu, Wolfgang Nejdl:
Discovering information diffusion paths from blogosphere for online advertising. 46-54
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Hua Li, Duo Zhang, Jian Hu, Hua-Jun Zeng, Zheng Chen:
Finding keyword from online broadcasting content for targeted advertising. 55-62
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  - conf/adkdd/SueirasMI07
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Jorge Sueiras, Fausto Morales, Juan-Carlos Ibanez:
From TV to online advertising: recent experience from the Spanish media. 63-70

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