RDSSC 2013 - Special Session on Recommender and decision systems with soft computing

Recommender and decision systems with soft computing
Decision systems research has significantly helped decision makers to compile useful information from either a combination of raw data, documents, and personal knowledge, or business models, to identify and solve problems and make decisions in many different fields such as management, operations, and planning. The advent of the Internet has introduced new areas of application of such as Recommender Systems, which is one of the most successful Internet-based decision systems for customer support of online shopping decisions, and for supplier support of online service recommendations. The field of soft computing techniques is broadly recognized for its use in expert and control systems, and its application to decision support and recommendation systems is also very significant. Decision making and recommender models have been revisited, modified and optimized by the use of soft computing techniques to produce important novelties in both research, and their applications.
Prof. Luis Martínez
Prof. Jie Lu
This invited session aims to provide an opportunity for researchers working in both research areas to discuss the theoretical and practical perspectives of adding soft techniques to decision and recommendation systems, including soft computing, in group decision support systems, in intelligent agents, and in online recommender systems. The session will also consider empirical studies that use soft computing techniques to add human aspects to decision systems, with various applications of these systems in e-commerce, e-business, e-learning and e-government.
Contact: Prof. Jie Lu (jie.lu-AT-uts.edu.au), Prof. Luis Martínez (martin-AT-ujaen.es)