-------- Original Message --------
Subject: [WI] CFP ADKDD2011
Date: Sat, 9 Apr 2011 02:12:55 +0200 (CEST)
From: Martine De Cock <Martine.DeCock@UGent.be>
To: wi@lists.uni-karlsruhe.de


THE FIFTH ANNUAL INTERNATION WORKSHOP ON DATA MINING AND AUDIENCE INTELLIGENCE 
FOR ONLINE ADVERTISING (ADKDD 2011)

Held in conjunction with the 17th International Conference on Knowledge 
Discovery and Data Mining (SIGKDD '11)

WORKSHOP DESCRIPTION

Online advertising is a key component in the whole internet ecosystem and is 
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 and so on. This fertile economic environment 
brought about large volumes of data along with challenging data mining 
problems. Understanding end users' need 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. Therefore, a forum for 
researchers and industry practitioners to exchange latest research results and 
construct collaborations will be of great service to the data mining community 
and generate value for the industry.

Following on the success of the four previous ADKDD Workshops, ADKDD 2011 will 
be held in San Diego CA, in conjunction with KDD 2011, to provide a high-level 
international forum for the academic community and the industry to present the 
state of the art of algorithms and applications of advertising.

Papers on all aspects of data mining and audience intelligence for advertising 
are solicited. Areas of interest include, but are not limited to: Mining for Ad 
Relevance and Ranking; Audience Intelligence & User Modeling; Content 
Understanding; Search Engine Marketing, Optimization and Other Topics in 
Advertising.


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:

  * Mining for Ad Relevance and Ranking
  * Ad relevance measurement
  * Ad ranking algorithms
  * Ad text creation and evaluation
  * Audience Intelligence & User Modeling
  * Understanding user intent
  * Modeling online user behaviors for targeted advertisement
  * User segmentation and profiling
  * Demographics & location prediction
  * Personalized advertising
  * Content Understanding
  * Content-targeted advertising
  * Opinion/sentiment miningWeb scale information extraction for online 
advertisement
  * Text mining techniques such as named entity extraction, query 
classification, keyword extraction, and other topics
  * Understanding multimedia content for online advertisement
  * Search Engine Marketing, Optimization (SEMs, SEOs)
  * Other Topics in Advertising
  * Advertising through social networks and microblogging (such as facebook and 
twitter)
  * Advertising on new channels such as mobile devices
  * Measurement of online advertising effectiveness
  * Consumer privacy and data use policy
  * Privacy preserving data mining approaches
  * Fraud and spam detection & prevention in online advertisements


IMPORTANT DATES

  * June 2, 2011: Electronic submission of full papers
  * June 15, 2011: Author notification
  * June 22, 2011: Submission of Camera-ready papers
  * August 21, 2011: Workshop in San Diego

PUBLICATION

  * The initial Workshop papers will be published with the ACM SIGKDD 2011 
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'11, we may publish a 
special issue with ACM TIST.

CONFERENCE WEBSITE

  * http://adlab.msn.com/adkdd2011/index.html


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