RecSys'12 workshop on human decision making in recommender systems.

ABSTRACTInteracting with a recommender system means to take different decisions such as selecting an item from a recommendation list, selecting a specific item feature value (e.g., camera's size, zoom) as a search 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 situations, users face a decision task. This workshop ([email protected]) focuses on approaches for supporting effective and efficient human decision making in different types of recommendation scenarios.