Data mining and audience intelligence for advertising

Ying Li, Arun C. Surendran, Dou Shen

Abstract: Growth in the global advertising industry - especially the recent rapid growth in online advertising - has generated large volumes of data, bringing along with it many challenging data mining problems. Researchers from various disciplines have brought their expertise to solve these exciting problems, leading to a plethora of novel applications and new algorithms. We strongly felt that we needed a forum where data mining researchers and practitioners, from both academia and the industry, could come together to share their experience on advertising. To this end, we organized ADKDD 2007 1, the First International Workshop on Data Mining and Audience Intelligence for Advertising, in conjunction with KDD 2007 at San Jose, California, USA. In this report, we will present a summary of the workshop.