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Insight-centric Visualization Recommendation
This global ranking makes it difficult and time-consuming for users to find the most interesting or relevant insights.
Personalized Visualization Recommendation
Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset and not the actual user and their past visualization feedback.
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
Finally, we observed a strong preference by the human experts in our user study towards the visualizations recommended by our ML-based system as opposed to the rule-based system (5. 92 from a 7-point Likert scale compared to only 3. 45).
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Semi-automated bias detection tools often present reports of automatically-detected biases using a recommendation list or visual cues.
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study
Machine learning models often make predictions that bias against certain subgroups of input data.
