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ADKDD 2012 : The 6th Annual International Workshop on Data Mining for Online Advertising and Internet Economy

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Link: http://www.adkdd.com/
 
When Aug 12, 2012 - Aug 12, 2012
Where Beijing, CHINA
Submission Deadline May 23, 2012
Notification Due Jun 1, 2012
Final Version Due Jun 8, 2012
 

Call For Papers


Apologies for multiple postings
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Call for Papers

ADKDD 2012
The 6th Annual International Workshop on Data Mining for
Online Advertising and Internet Economy

in conjunction with SIGKDD'12, August 12, 2012, Beijing, CHINA


Electronic submission of full papers (Extended): May 23, 2012


http://www.adkdd.com/

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IMPORTANT DATES
* May 23, 2012: Electronic submission of full papers
* June 1, 2012: Author notification
* June 8, 2012: Submission of Camera-ready papers
* August 12, 2012: Workshop in Beijing, China


WORKSHOP DESCRIPTION

The Internet has become an important element of the economic system. Internet economy, a form of conducting business based on the Internet and World-Wide Web, has seen exponential growth in the past decades. Not only the online advertising has been growing rapidly but also many internet-based companies have been established and been changing the whole world and our daily lives continuously. This fertile economic environment brings about large volumes of data along with great challenges to the data mining and related communities.

As a key component in the whole internet ecosystem, online advertising has been growing rapidly with constantly evolving business models and practices. Examples of online advertising include sponsored search, display advertising, rich media ads, social network advertising, interstitial ads, online classified advertising, e-mail marketing, viral marketing, and so on. With the rapid growth of social network, social network advertising is taking off and playing an important role in the whole landscape. Therefore, understanding end users’ needs and advertisers’ goals, as well as figuring out the right strategy to connect user and ads for each type of advertising, will benefit all players in advertising marketplaces and enable technologies for the right advertisement to be delivered to the right users at the right time. Driven by this goal, breakthrough data mining methodologies and applications will appear in the advertising domain.

Following on the success of ADKDD 2007, ADKDD 2008, ADKDD 2009, ADKDD 2010, and ADKDD 2011; ADKDD 2012 is to be held in Beijing, China, in conjunction with KDD2012, to provide a high-level international forum for researchers and industry practitioners from data mining community and other related areas (such as economics) to present the state of the art of algorithms and applications, to exchange latest research results, to discuss future directions, and to construct collaborations, for online advertising and internet economy. ADKDD 2012 also emphasizes the importance of participation and provides ample time for discussions among all the participants.


WORKSHOP TOPICS

Papers on all aspects of data mining and audience intelligence for advertising are solicited.
Areas of interest include, but are not limited to:
• Data mining for E-commerce
o Data mining to leverage online retailer logs for recommender systems
o Data mining to predict future conversions of an online retailer
• Econometrics and Behavioral Economics
• Game-Theoretic Data Mining
o Game-theoretic data mining for user modeling (in sponsored search and group-buying)
o Game-theoretic data mining for advertiser/merchant modeling
• Data-Driven Mechanism Design
o Data driven auction mechanism design for sponsored search
o Data driven auctions for e-commerce
• Mining for Ad Relevance and Ranking
o Ad relevance measurement
o Ad ranking algorithms
o Ad text creation and evaluation
• Audience Intelligence & User Modeling
o Understanding user intent
o Modeling online user behaviors for targeted advertisement
o User segmentation and profiling
o Demographics & location prediction
o Personalized advertising
• Content Understanding
o Content-targeted advertising
o Opinion/sentiment mining
o Web scale information extraction for online advertisement
o Text mining techniques such as named entity extraction, query classification, keyword extraction, and other topics
o Understanding multimedia content for online advertisement
• Search Engine Marketing, Optimization (SEMs, SEOs)
• Other Topics in Advertising and Internet Economics
o Advertising through social networks and micro-blogging
o Advertising on new channels such as mobile devices
o Measurement of online advertising effectiveness
o Consumer privacy and data use policy
o Privacy preserving data mining approaches
o Fraud and spam detection & prevention in online advertisements


PUBLICATION
* The initial Workshop papers will be published with the ACM SIGKDD 2012 conference CD.
* The workshop proceedings will be added to ACM Digital Library along with the main conference proceedings.
* One or two papers will be recommended to SIGKDD Explorations.
* Depending on the quality of accepted papers by ADKDD'12, authors of accepted papers will be invited to submit an extended version of their papers to be published as a book chapter in an approved edited volume by Springer-Verlag after a second round of reviews.

SUBMISSION
* All submissions must be made electronically following the submission information on the Workshop Web site: http://www.adkdd.com/Submission.html
* Please use the prescribed formatting guidelines of KDD which can be found at:
http://www.acm.org/sigs/publications/proceedings-templates
* Papers should be no longer than 9 pages inclusive of all references and figures. All papers should be submitted in the PDF format. Please ensure that any special fonts used are included in the submitted documents.
* Papers submitted to ADKDD 2012 should be original work and substantively different from papers that have been previously submitted or are under review in a journal or another conference/workshop.
* Reviews are not double-blind, and author names and affiliations should be listed.


ORGANIZING COMMITTEE
* Esin Saka, Microsoft Online Services Division
* James G. Shanahan, Independent Consultant
* Ying Li, Microsoft Corporation
* Tie-Yan Liu, Microsoft Research Asia
* Tao Qin, Microsoft Research Asia
* Dou Shen, CityGrid Media

PROGRAM COMMITTEE
* Ayman Farahat, Adobe Research
* Evgeniy Gabrilovich, Google
* Bin Gao, Microsoft Research Asia
* Rosie Jones, Akami
* Hua Li, Microsoft Online Services Division
* Angela Xia Liu, Tsinghua University
* Chao Liu, Tencent
* Olfa Nasraoui, University of Louisville
* Junfeng Pan, Google
* Claudia Perlich, Media6Degrees
* Tieyun Qian, Wuhan University
* Xuehua Shen, Pinyou
* Ori Stitelman, Media6Degrees
* Dirk Van den Poel, University Gent
* Jun Wang, University College London
* Ramana Yerneni, Microsoft Online Services Division
* Hwanjo Yu, POSTECH
* Benyu Zhang, Google
* Yong Zhao, UESTC

INVITED TALKS
T.B.A
* Deepak Agarwal, LinkedIn
* Xuehua Shen, Pinyou

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