OBAM 2015 - IEEE Intelligent System Special Issue on Online Behavioral Analysis and Modeling

IEEE Intelligent System Special Issue on Online Behavioral Analysis and Modeling
Submission Deadline: 1 June 2015
With the rapid proliferation of web applications, such as search engine, e-commerce and social networking service, more and more user behaviors are available online, which opens a new perspective for behavioral data analytics where more focus should be put on various types of interactions on the web. For example, users can build friendships with, send messages to and make phone calls with other users, creating user-user interactions; they can also post messages, buy products and check in restaurants, creating user-item interactions. Developing computational methods to model user behaviors, analyze different behavioral patterns, understand mechanisms underlying behavioral logs and eventually predict the next behaviors or detect strange behaviors is of paramount importance since it would improve applications like web search, recommender system and social networking services and, on the other side, stop frauds, spams and attacks. This presents clear challenges to behavior modeling: user behavior depends on contents, intentions and contexts in complex online environments. Moreover, the online settings bring big challenges to behavioral data analysis since user behavioral data is in web scale, heterogeneous, of multiple dimensions, highly sparse and dynamic.
The topics of interest for this special issue include, but are not limited to
Methods and techniques:
--New principles of user behavior formation
--Modeling personal preference and interpersonal influence
--Modeling individual behavior and group behavior
--Modeling temporal behavior and behavioral dynamics
--Modeling check-in behavior and purchasing behavior
--Scalable techniques for large-scale behavioral data analysis
--Efficient techniques for online behavioral processing
Applications of online user behavioral analytics, such as:
--Social networks
--Recommender systems
--E-commerce systems
--Fraud and spam detection
--Suspicious behavior detection
--Search engines
Submission Guidelines
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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). 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.
Guest Editors
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Peng Cui, Tsinghua University, China
Huan Liu, Arizona State University, US
Charu Aggarwal, IBM T. J. Watson Research Center, US
Fei Wang, University of Connecticut, US
Questions?
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Information about the special issue's focus: Peng Cui, is1-2016-AT-computer.org
General author guidelines: www.computer.org/intelligent/author
Submission details: intelligent-AT-computer.org
To submit an article: https://mc.manuscriptcentral.com/is-cs
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Peng Cui, PhD.
Assistant Professor
Deparment of Computer Science, Tsinghua University
Homepage: http://media.cs.tsinghua.edu.cn/~multimedia/cuipen...