The Research archive provides access to all Research articles published in past issues of Communications of the ACM.
This paper investigates sampled metrics and shows that it is possible to improve the quality of sampled metrics by applying a correction, obtained by minimizing different criteria.
In this work, we introduce the problem of visualization search and highlight two underlying challenges of search enumeration and visualization matching.
"On Sampled Metrics for Item Recommendation," by Walid Krichene and Steffen Rendle, exposes a crucial aspect for the evaluation of algorithms and tools: the impact of using sampled metrics instead of exactly computed metrics.…
"Expressive Querying for Accelerating Visual Analytics," by Tarique Siddiqui et al., provides a general abstraction, along with advanced interfaces, focusing on visualization search.