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.
By:
Zehua Zeng, Leilani Battle Imprint: now publishers Inc Country of Publication: United States Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 137g ISBN:9781638284024 ISBN 10: 1638284024 Series:Foundations and Trends® in Databases Pages: 88 Publication Date:10 September 2024 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active