ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus
Author:
Affiliation:
1. Oregon State University, Corvallis, Oregon, USA
2. University of Washington, Seattle, Washington, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626246.3654753
Reference14 articles.
1. Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health
2. Ori Bar El, Tova Milo, and Amit Somech. 2020. Automatically generating data exploration sessions using deep reinforcement learning. In Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. 1527--1537.
3. What Do We Mean When We Say “Insight”? A Formal Synthesis of Existing Theory
4. Micah Carroll, Rohin Shah, Mark K Ho, Tom Griffiths, Sanjit Seshia, Pieter Abbeel, and Anca Dragan. 2019. On the utility of learning about humans for human-ai coordination. Advances in neural information processing systems , Vol. 32 (2019).
5. DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement Learning
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