Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study
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DOI: 10.1109/tvcg.2021.3085751
Abstract: Visualization recommendation (VisRec) systems provide users with suggestions for potentially interesting and useful next steps during exploratory data analysis. These recommendations are typically organized into categories based on their analytical actions, i.e., operations employed to… read more here.
Keywords: visualization; visualization recommendation; categorization visualization; visrec systems ... See more keywords
An Evaluation-Focused Framework for Visualization Recommendation Algorithms
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DOI: 10.1109/tvcg.2021.3114814
Abstract: Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which algorithm is best for a given visual analysis scenario. Though… read more here.
Keywords: evaluation; visualization recommendation; recommendation algorithms; recommendation ... See more keywords
Leveraging Analysis History for Improved In Situ Visualization Recommendation
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DOI: 10.1111/cgf.14529
Abstract: Existing visualization recommendation systems commonly rely on a single snapshot of a dataset to suggest visualizations to users. However, exploratory data analysis involves a series of related interactions with a dataset over time rather than… read more here.
Keywords: history; analysis history; leveraging analysis; analysis ... See more keywords