Special Issue on Computational Advertising

Submission Deadline: May 1, 2016
Notification of the First Round Reviews: July 1, 2016
Submission Deadline for Revisions: August 20, 2016
Final Paper Decision: September 20, 2016
Publication: January/February 2017

Computational advertising is a rapidly growing interdisciplinary research field that crosses  a variety of established scientific disciplines, including computer science, artificial intelligence, advertising, marketing, linguistics, statistics, economics, psychology, and sociology. Specifically, computational advertising can be viewed as a scientific sub-discipline at the intersection of information retrieval, statistical modeling, machine learning, classification, optimization, microeconomics, large-scale search, and text analysis. In contrast with traditional advertising, computational advertising provides an ideal platform for monitoring, tracking, gauging, and evaluating advertising campaigns and user behaviors,  and thus providing the basis for exact, personalized advertising with quantifiable results. The central challenge of computational advertising lies in finding the "best match" between a specific user in a specific context and a suitable advertisement, which requires leveraging the information associated with the user, publisher, and advertiser. With the rapid proliferation of novel digital applications related to the Web, location-based mobile services, and social community, there have been emerging rich advertising forms such as display advertising, contextual advertising, textual advertising, sponsored search, content match, real-time bidding advertising, viral advertising, mobile advertising, and social advertising. These advertising forms demand sophisticated mechanisms, processes, and strategies in order to achieve satisfying results.

This special issue aims to report on and discuss the state of the art in computational advertising — particularly, new ideas, methods, and innovative applications. The topics of interest for this special issue include, but are not limited to:

  • Computational advertising forms
  • Online/Web advertising
  • Graphical advertising
  • Display advertising
  • Sponsored search advertising
  • Search engine marketing (SEM)
  • Contextual advertising
  • Textual advertising
  • Location-based and mobile advertising
  • Social advertising
  • Psychological advertising
  • Real-time bidding
  • Targeted advertising
  • Recommender systems
  • Methods and Models for computational advertising
  • Advertising personalization
  • Advertising decisions and strategy optimization
  • Advertising retrieval
  • Information retrieval and Web mining
  • Content match
  • Cross-channel advertising
  • Behavioral targeting
  • User behavior modeling
  • Influence and homophily in online behavior
  • Click fraud
  • Click prediction
  • Marketplace and economics
  • Measuring advertising effectiveness
  • Advertising campaign management
  • Opinion mining
  • Data mining for computational advertising
  • Machine learning for computational advertising
  • Large scale search algorithms for computational advertising
  • Statistical modeling computational advertising

Guest Editors

  • Yanwu Yang, Huazhong University of Science and Technology, China
  • Yinghui Yang, University of California, Davis, US
  • Bernard J. Jansen, Qatar Computing Research Institute, HBKU
  • Mounia Lalmas, Yahoo Labs, UK

Submission Guidelines

Submissions should be 3,000 to 5,400 words (counting a standard figure or table as 200 words) and should follow IEEE Intelligent Systems style and presentation guidelines (www.computer.org/intelligent/author). All submissions will be peer-reviewed following standard journal practices. The manuscripts cannot have been published or be currently submitted for publication elsewhere.

We strongly encourage submissions that include audio, video, and community content, which will be featured on the IEEE Computer Society Website along with the accepted papers.

Please submit your article using the online manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee. When uploading your article, select the appropriate special-issue title under the category "Manuscript Type." Also include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at isystems@computer.org.