We are happy to report that 62 participants have signed up for the 2015 workshop! Short bios for speakers and attending organizers are listed below.
Nava Tintarev (organizer) is a Research Fellow at the Department of Computer Science, University of Aberdeen, Scotland. She received her Ph.D. in Computer Science from the University of Aberdeen in 2010 on the topic of “Explaining recommendations”. Nava is interested in improving human interaction with artificial advice givers, and her research spans the areas of recommender systems, user modelling, (applied) natural language generation, and human-computer interaction. She is particularly interested in using information presentation (text, but more recently also interactive visualizations) to improve the quality of decisions that people make, and the best ways to evaluate this sort of decision-making. She has been part of the Recsys community since 2006, when she participated as an invited student speaker to the invitation only summer school, and has served on the program committee since 2011. Nava is a contributing author to the Recommender Systems handbook (now in its second edition), and has published over 30 peer-reviewed papers. This year she is also an associated editor with John O’Donovan and Alexander Felfernig on a special issue of Transactions on Interactive Intelligent Systems on the topic of Human Interaction With Artificial Advice Givers.
Alexander Felfernig (organizer) 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 knowledge acquisition methods. 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 is a co-author of the book on “Recommender Systems” published by Cambridge University Press. He also acted as an organizer of international conferences and workshops such as the ACM International Conference on Recommender Systems and the International Symposium on Methodologies for Intelligent Systems and is currently a member of the Editorial Board of Applied Intelligence and the Journal of Intelligent Information Systems.
Joanna Misztal-Radecka graduated from MSc. in Computer Science at Jagiellonian University in Kraków. Her former research interests include Computational Creativity, Natural Language Processing and Emotions Analysis. As her Master’s Thesis she implemented a multi-agent system for automatic poetry generation. In 2014 she started her PhD research in the domain of Recommender Systems focusing on explanations generation and context analysis for automatic recommendations.
Giovanni Semeraro (organizer) is an Associate Professor of Computer Science at the University of Bari Aldo Moro (Italy), where he teaches “Intelligent Information Access & Natural Language Processing” and “Programming Languages”, and leads the Semantic Web Access and Personalization (SWAP) research group. He has been a visiting scientist at the Department of Information and Computer Science, University of California at Irvine, in 1993. From 1989 to 1991, he was a researcher at Tecnopolis CSATA Novus Ortus, Bari, Italy.
His research interests include AI; recommender systems; language games; intelligent information mining, retrieval, and filtering; semantic and social computing; machine learning; natural language processing; the Semantic Web; personalization. He has been the scientific lead for European, national and regional projects, as well as research contracts with companies and public organizations. He is an editor of 11 international books and author of more than 300 scientific papers published in international journals, books, conference and workshop proceedings.
Wesley Waldner is a M.Sc. student in Computer Science at University of Saskatchewan. His research interests include alternatives to filtering in social streams, social data visualization, and user interface design for interactive recommender systems.
Wolfgang Wörndl is a senior lecturer and researcher at Technische Universität München in Munich, Germany. His current research interests include user interaction with adaptive services and recommender systems, for example in mobile scenarios.
Matthias Braunhofer is currently completing his PhD on the cold-start in context-aware recommender systems at the Free University of Bozen – Bolzano, Italy. His research interests include context-aware recommender systems, mobile recommender systems and active learning in recommender systems.
Pasquale Lops (organizer) is an Assistant Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He received his Ph.D. in Computer Science from the University of Bari in 2005 with a dissertation on “Hybrid Recommendation Techniques based on User Profiles”. His research interests include recommender systems, machine learning, user modelling and information filtering.
He has served as a senior program committee member of RecSys 2014 and as a regular member since 2010.
Jon Espen Ingvaldsen
Cecilia di Sciasico