Guest Editors' Introduction: Recommender Systems

This special issue presents eight articles, five long and three short, on techniques to improve recommender systems. They cover improving such aspects as user interaction with recommenders, the quality of results presented to users, and user trust in presented recommendations. This article is part of a special issue on Recommender Systems.

Authors

• Alexander Felfernig Graz University of Technology, Graz, Austria
• Gerhard Friedrich Georg Gottlob
• Lars Schmidt-Thieme Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany VWFS Data Analytics Research Center

Keywords

• Recommender systems
• Collaboration
• Marketing and sales
• Information filtering
• Information filters
• Books
• Motion pictures
• Digital cameras
• User interfaces
• Electronic government
• recommender system