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Agnostic Visual Recommendation Systems: Open Challenges and Future Directions
March 19, 2024, 4:44 a.m. | Luca Podo, Bardh Prenkaj, Paola Velardi
cs.LG updates on arXiv.org arxiv.org
Abstract: Visualization Recommendation Systems (VRSs) are a novel and challenging field of study aiming to help generate insightful visualizations from data and support non-expert users in information discovery. Among the many contributions proposed in this area, some systems embrace the ambitious objective of imitating human analysts to identify relevant relationships in data and make appropriate design choices to represent these relationships with insightful charts. We denote these systems as "agnostic" VRSs since they do not rely …
abstract analysts arxiv challenges cs.lg data discovery expert future generate human information novel recommendation recommendation systems study support systems type visual visualization
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