Data mining and audience intelligence for advertising
Ying Kui Li, Arun C. Surendran, Dou Shen · ACM SIGKDD Explorations Newsletter · 2007
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.