Advertising is a half-a-trillion dollar a year business, out of which online advertising is a small, but rapidly growing, part. The dramatic growth in the number of participants in online advertising marketplace (users, advertisers, publishers, and market makers) has brought about large volumes of data and exciting data mining problems. Research in advertising should offer solutions to problems faced by end-users, advertisers, and market makers; it should address a wide range of issues such as market mechanisms, campaign management, and audience intelligence—from basic user profiling to user intent understanding. Research output from traditional advertising channels such as television, radio, and print will also aid the advancement of online advertising.

The goal of this workshop is to encourage data mining and knowledge discovery researchers to take on the numerous challenges faced in the rapidly changing advertising industry. It aims to serve as a forum for researchers and industry practitioners to exchange latest research results and best practices while encouraging future breakthroughs that may contribute to general data mining research. The workshop will feature invited talks from noted experts in the subject areas as well as presentations from researchers on the latest data mining research for advertising. We encourage papers that propose novel data mining techniques in (but not restricted to) the following areas:

• Auction theory and design for advertising
• Search intent discovery for advertising
• Audience intelligence
• Opinion/sentiment mining
• Mining social networks and blogs
• Behavioral targeting
• Analysis for content-targeted advertising
• Multimedia online advertisement
• Spam detection in online advertisements
• Techniques used for analysis (e.g. text mining techniques such as named entity extraction, query classification, keyword extraction, and other topics)
• Web scale information extraction for online advertisement
• Consumer privacy and data use policy
• Privacy preserving data mining approaches
• Tracking effectiveness of advertisement campaigns

For problems with this page, or for any other information, please contact: Arun C. Surendran (acsuren at microsoft dot com)