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.