Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
Preface to the special issue on user interfaces for recommender systems
User Modeling and User-Adapted Interaction
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Interacting with a recommender system means to take different decisions such as selecting a song/movie from a recommendation list, selecting specific feature values (e.g., camera's size, zoom) as criteria, selecting feedback features to be critiqued in a critiquing based recommendation session, or selecting a repair proposal for inconsistent user preferences when interacting with a knowledge-based recommender. In all these scenarios, users have to solve a decision task. The major focuses of this workshop (Decisions@RecSys) were approaches for efficient human decision making in different types of recommendation scenarios.