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Recommender System Evaluation (Explaining Recommendations: Designs and…
Recommender System Evaluation
Evaluating Recommender Systems
Introduction
Experimental Settings
Offline Experiments
Data Sets for Offline Experiments
Simulating User Behaviour
More Complex User Modeling
User Studies
Advantages and Disadvantages
Between vs. Within Subjects
Variable Counter Balance
Questionnaires
Online Evaluation
Drawing Reliable Conclusions
Recommender System Properties
User Preference
Prediction Accuracy
Measuring Ratings Prediction Accuracy
Measuring Usage Prediction
Ranking Measures
Coverage
Item Space Coverage
User Space Coverage
Cold-Start Problem
Confidence
Trust
Novelty
Serendipity
Diversity
Utility
Risk
Robustness
Privacy
Adaptivity
Scalability
Conclusion
Evaluating Recommender Systems with User Experiments
Introduction
Theoretical Foundation and Existing Work
Practical Guidelines
Conclusion
Explaining Recommendations: Designs and Evaluation
Introduction
Future Directions
Explanation Styles
Designing the Presentation and Interaction with Recommendations
Goals and Metrics