Abstract is missing.
- Pay-per-action model for online advertisingMohammad Mahdian, Kerem Tomak. 1-6 [doi]
- More bang for their bucks: assessing new features for online advertisersDiane Lambert, Daryl Pregibon. 7-15 [doi]
- The economics of attention: maximizing user value in information-rich environmentsBernardo A. Huberman, Fang Wu. 16-20 [doi]
- A noisy-channel approach to contextual advertisingVanessa Murdock 0001, Massimiliano Ciaramita, Vassilis Plachouras. 21-27 [doi]
- Sensitive webpage classification for content advertisingXin Jin, Ying Li, Teresa Mah, Jie Tong. 28-33 [doi]
- Sentiment classification with interpolated information diffusion kernelsStephan Raaijmakers. 34-39 [doi]
- Extracting opinion topics for Chinese opinions using dependence grammarGuang Qiu, Kangmiao Liu, Jiajun Bu, Chun Chen 0001, Zhiming Kang. 40-45 [doi]
- Discovering information diffusion paths from blogosphere for online advertisingAvaré Stewart, Ling Chen, Raluca Paiu, Wolfgang Nejdl. 46-54 [doi]
- Finding keyword from online broadcasting content for targeted advertisingHua Li 0001, Duo Zhang, Jian Hu, Hua-Jun Zeng, Zheng Chen 0001. 55-62 [doi]
- From TV to online advertising: recent experience from the Spanish mediaJorge Sueiras, Fausto Morales, Juan-Carlos Ibanez. 63-70 [doi]