Inicio > > Ciencias de la computación > Interacción persona-computador > A Systematic Review of Visualization Recommendation SystemsRecommendation Systems
A Systematic Review of Visualization Recommendation SystemsRecommendation Systems

A Systematic Review of Visualization Recommendation SystemsRecommendation Systems

Leilani Battle / Zehua Zeng

74,17 €
IVA incluido
Disponible
Editorial:
Now Publishers
Año de edición:
2024
Materia
Interacción persona-computador
ISBN:
9781638284024
74,17 €
IVA incluido
Disponible

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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.

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