Group Recommender Systems

Introduction.- Group Recommendation Techniques.- Decision Tasks and Basic Algorithms.- Algorithms for Group Recommendation.- Evaluating Group Recommender Systems.- Part 2. Group Recommender User Interfaces.- Group Recommender Applications.- Handling Preferences.- Explanations for Groups.- Part 3. Group Decision Processes.- Further Choice Scenarios.- Biases in Group Decisions.- Personality, Emotions, and Group Dynamics.- Conclusions.

Alexander Felfernig is a full professor at the Graz University of Technology (Austria) since March 2009 and received his PhD in Computer Science from the University of Klagenfurt. He directs the Applied Software Engineering (ASE) research group. His research interests include configuration systems, recommender systems, model-based diagnosis, software requirements engineering, different aspects of human decision making, and machine learning. In these areas, he is engaged in national research projects as well as in a couple of European Union projects. Alexander Felfernig has published numerous papers in renowned international conferences and journals (e.g., AI Magazine, Artificial Intelligence, IEEE Transactions on Engineering Management, IEEE Intelligent Systems, Journal of Electronic Commerce, and User Modeling and User-Adapted Interaction) and is a co-author of the book on "Recommender Systems" published by Cambridge University Press. He also acted as an organizer of internationalconferences such as the ACM International Conference on Recommender Systems,the International Symposium on Methodologies for Intelligent Systems, and the ACM International Systems and Software Product Line Conference, and is a member of the Editorial Board of Applied Intelligence and the Journal of Intelligent Information Systems. With his research, he contributed to the development of commerical decision support and recommender systems.Martin Stettinger studied Software Development and Business Economics at Graz, University of Technology and graduated in 2013 as MSc. with honors. He received his PhD in Computer Science in 2016 with honors. At the moment, he is Senior Researcher at the Institute of Software Technology at Graz University of Technology, and co-founder and CTO of the 2013 founded SelectionArts Intelligent Decision Technologies Inc. The research focus of Martin Stettinger is in the field of recommender systems and includes recommendation-supported e-Learning, human decision