A Systematic Review of Visualization Recommendation Systems
Goals, Strategies, Interfaces, and Evaluations
Seiten
2024
now publishers Inc (Verlag)
978-1-63828-402-4 (ISBN)
now publishers Inc (Verlag)
978-1-63828-402-4 (ISBN)
This monograph reviews how visualization recommendation systems have been designed over the last 25 years.
Visualization recommendation systems help data analysts navigate large, complex datasets by generating visualizations of meaningful patterns, outliers, and insights that could influence downstream decision-making. However, recommendations can easily mislead or confuse analysts when they are not developed with care.
This monograph reviews how visualization recommendation systems have been designed over the last 25 years, and classifies them by their underlying recommendation goals and high-level implementation strategies, including the user interfaces provided for navigating and interpreting the recommended visualizations. To understand their efficacy, this work also reviews how visualization recommendation systems are evaluated in the literature. Given these observations, several open challenges and promising directions for future work in designing effective visualization recommendation systems are presented.
Visualization recommendation systems help data analysts navigate large, complex datasets by generating visualizations of meaningful patterns, outliers, and insights that could influence downstream decision-making. However, recommendations can easily mislead or confuse analysts when they are not developed with care.
This monograph reviews how visualization recommendation systems have been designed over the last 25 years, and classifies them by their underlying recommendation goals and high-level implementation strategies, including the user interfaces provided for navigating and interpreting the recommended visualizations. To understand their efficacy, this work also reviews how visualization recommendation systems are evaluated in the literature. Given these observations, several open challenges and promising directions for future work in designing effective visualization recommendation systems are presented.
1. Introduction
2. Background: Key Considerations in Designing Visualization Recommendation Systems
3. Common Architectures for Visualization Recommendation Systems
4. Inputs to and Outputs From Visualization Recommendation Algorithms
5. Learning Methods
6. Common User Interface Designs
7. Evaluation Methods
8. Open Challenges
9. Conclusion
References
| Erscheinungsdatum | 24.09.2024 |
|---|---|
| Reihe/Serie | Foundations and Trends® in Databases |
| Verlagsort | Hanover |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 137 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| ISBN-10 | 1-63828-402-4 / 1638284024 |
| ISBN-13 | 978-1-63828-402-4 / 9781638284024 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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