A FINAL Reminder: Special Issue on Computational Advertising in IEEE Intelligent Systems

Notification Due

Jul 01, 2016

Final Version Due

Sep 20, 2016

Submission Deadline

May 01, 2016

A FINAL Reminder: Special Issue on Computational Advertising in IEEE Intelligent Systems

Special Issue on Computational Advertising

http://www.computer.org/web/computingnow/iscfp1

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.

Computational Analysis

Advertising

Advertising Research

Yanwu Yang