SIGIR 2013 Workshop on Internet Advertising: Theory and Practice

In conjunction with the 36th Annual ACM SIGIR Conference

August 1st, 2013, Dublin, Ireland


Workshop Website: http://research.microsoft.com/en-us/um/beijing/events/ia2013/


=== Call for Papers ===

Internet advertising, a form of advertising that utilizes the Internet to deliver marketing messages and attract customers, has seen exponential growth

since its inception around twenty years ago; it has been pivotal to the success of the World Wide Web. The dramatic growth of internet advertising poses

great challenges to information retrieval, machine learning, data mining and game theory, and it calls for novel technologies to be developed.


The main purpose of this workshop is to bring together researchers and practitioners in the area of Internet Advertising and enable them to share their

latest research results, to express their opinions, and to discuss future directions.


Internet advertising is one of the most important monetization engines of the Internet. It is highly associated with many IR applications such as web

portals, search engines, social networks, e-commerce, mobile networks and apps, etc. Researchers in information retrieval, machine learning, data

mining, and game theory are developing creative ideas to advance the technologies in this area.


We are looking forward to your submissions!


=== IMPORTANT DATES ===

- May 31, 2013: Electronic submission of full papers

- June 21, 2013: Author notification

- July 05, 2013: Submission of Camera-ready papers

- August 1, 2013: Workshop in Dublin, Ireland

=== Submission ===

- Length of paper: 4 pages or less in ACM template

- Format: PDF, US Letter (8.5" x 11").

- Templates: http://www.acm.org/sigs/publications/proceedings-templates

- Workshop Website: http://research.microsoft.com/en-us/um/beijing/events/ia2013/

- Submission website: https://cmt.research.microsoft.com/IATP2013/

- Submission deadline: May 31, 2013, 11:30pm PDT

- The review process will not be "double-blind".


=== Topics and Themes ===

Machine learning for internet advertising

- Learning to predict ad click-through rate

- Learning to rank for ads display

- Learning to predict advertiser behaviors

- Learning to compute ad relevance

Data mining for internet advertising

- Mining online retailer logs for recommender systems

- Mining search ads logs for improving ad relevance, click-through rate prediction, and evaluation

- Mining user behavior logs for behavioral targeting

- Mining Web knowledge for online advertising

Game theory for internet advertising

- Mechanism design for sponsored search, display ads, social network advertising, etc.

- Advertiser behavior modeling and user behavior modeling

Other Topics in Advertising and Internet Economics

- Ad exchanges and real-time bidding

- Fraud detection in ad clicks

- Search engine marketing (SEM)

- Advertising on social networks, mobiles, games, etc.

- Privacy preserving

- Ad personalization

- Context aware ad recommendation

- Case studies for Internet advertising


=== Organizers ===

- Bin Gao, Microsoft Research Asia, bingao@microsoft.com

- Jun Yan, Microsoft Research Asia, junyan@microsoft.com

- Dou Shen, Baidu, doushen@live.com

- Tie-Yan Liu, Microsoft Research Asia, tyliu@microsoft.com


=== Contact ===

For any questions about paper submissions, please contact iatp2013chairs@gmail.com.