Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
The Journal of Machine Learning Research
Multimedia Tools and Applications
How personality influences users' needs for recommendation diversity?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Using link semantics to recommend collaborations in academic social networks
Proceedings of the 22nd international conference on World Wide Web companion
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In this tutorial we discuss the evaluation of recommender systems. We discuss the main reason for evaluating recommender systems, i.e., the selection task. We overview some general guidelines for conducting evaluation tests. We then discuss the evaluation of the system accuracy given specific system tasks. We also overview many properties of recommender systems, and explain how these properties can be evaluated.