Title :
Guest Editors´ Introduction: Recommender Systems
Author :
Felfernig, Alexander ; Friedrich, Gerhard ; Schmidt-Thieme, Lars
Author_Institution :
University of Klagenfurt
Abstract :
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.
Keywords :
Books; Collaboration; Digital cameras; Electronic government; Information filtering; Information filters; Marketing and sales; Motion pictures; Recommender systems; User interfaces; recommender system;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2007.52
