Pay-per-Action Model for Online Advertising
Mohammad Mahdian, Kerem Tomak, Yahoo! Research, Santa Clara CA, USA.

More Bang for Their Bucks: Assessing New Features for Online Advertisers
Daryl Pregibon, Diane Lambert, Google Inc., New York, USA.

The Economics of Attention: Maximizing User Value in Information-Rich Environments
Bernardo Huberman, Fang Wu, HP Labs, Palo Alto CA, USA.

A Noisy Channel Approach to Contextual Advertising
Vanessa Murdock, Massimiliano Ciaramita, Vassilis Plachouras, Yahoo! Research -Barcelona, Spain.

Sensitive Webpage Classification for Content Advertising
Xin Jin, Ying Li, Teresa Mah, Jie Tong, Microsoft adCenter Labs, Redmond WA, USA.

Sentiment Classification with Interpolated Information Diffusion Kernels
Stephan Raaijmakers, TNO Information and Communication Technology, The Netherlands.

Extracting Opinion Topics for Chinese Opinions using Dependence Grammar
Guang Qiu, Kangmiao Liu, Jiajun Bu, Chun Chen, Zhiming Kang, Zhejiang University, Hangzhou, China.

Discovering Information Diffusion Paths from Blogosphere for Online Advertising
Avare Stewart, Ling Chen, Raluca Paiu Wolfgang Nejdl, University of Hannover, Hannover, Germany.

Finding Keyword from Online Broadcasting Content for Targeted Advertising
Hua Li, Duo Zhang, Jian Hu, Hua-Jun Zeng, Zheng Chen, Microsoft Research Asia, Beijing, China.

From TV to Online Advertising: Recent Experience from the Spanish Media
Jorge Sueiras, Fausto Morales, Juan-Carlos Ibanez, Neo Metrics, Madrid, Spain.