Date: Dec. 6, 2012

Venue: Macau, China

n About ISMIS

  The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc. The focus is on research in intelligent systems. The conference addresses issues involving solutions to problems that are complex to be solved through conventional approaches and that require the simulation of intelligent thought processes, heuristics and applications of knowledge. The integration of these multiple approaches in solving complex problems is of particular importance. ISMIS provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications.

n Special Session on Social Recommender Systems

Recommender systems have been recognized as a promising way to solve the information overload problem, whose main task is to find out what their users might like. Recent evidence demonstrates the significance of social influence and indicate that recommendations made by advanced techniques and algorithms are often less appreciated than those coming from our friends or acquaintances. The emergence of large-scale social network services, such as Facebook and Twitter, is facilitating the development of social recommendation. Beyond theoretical interests, academic studies on social recommender systems can immediately find industrial applications.

We seek high-qualified, original submissions of reports on research covering all the aspects of designs, techniques, algorithms, experiments, and empirical analyses on social recommender systems. The topics include but are not limited to the following:

Offline Social Recommender Systems

Empirical Analyses of Social Influence

Designs and Techniques of Social Recommender Systems

Social Recommendation Algorithms

Modeling Social Recommendation and User Behavior

Real Applications of Social Recommender Systems

Psychology of Social Recommendation

        Privacy Issues of Social Recommendation

n Submission Guidelines

- Authors are invited to submit their manuscript in LNCS/LNAI style (please see this page), maximum 10 pages.

- Paper should be submitted in PDF form via ISMIS 2012 Online Submission Syste
http://wi-lab.com/cyberchair/2012/ismis12/cbc_index.html

- The submitted papers will be reviewed by the following program committees of this session

n Important Dates

n ORGANIZING COMMITTEE

Session Chair: