Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Context-aware recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Proceedings of the third ACM conference on Recommender systems
Understanding choice overload in recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Workshop on user-centric evaluation of recommender systems and their interfaces
Proceedings of the fourth ACM conference on Recommender systems
Each to his own: how different users call for different interaction methods in recommender systems
Proceedings of the fifth ACM conference on Recommender systems
A pragmatic procedure to support the user-centric evaluation of recommender systems
Proceedings of the fifth ACM conference on Recommender systems
UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces
Proceedings of the fifth ACM conference on Recommender systems
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
Evaluating recommender systems from the user's perspective: survey of the state of the art
User Modeling and User-Adapted Interaction
Explaining the user experience of recommender systems
User Modeling and User-Adapted Interaction
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There is an increasing consensus in the field of recommender systems that we should move beyond the offline evaluation of algorithms towards a more user-centric approach. This tutorial teaches the essential skills involved in conducting user experiments, the scientific approach to user-centric evaluation. Such experiments are essential in uncovering how and why the user experience of recommender systems comes about.