Personalized Visualization Recommendation

@article{Qian2021PersonalizedVR,
  title={Personalized Visualization Recommendation},
  author={Xin-Yao Qian and Ryan A. Rossi and Fan Du and Sungchul Kim and Eunyee Koh and Sana Malik and Tak Yeon Lee and Nesreen K. Ahmed},
  journal={ACM Transactions on the Web (TWEB)},
  year={2021},
  volume={16},
  pages={1 - 47}
}
Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset, and not the actual user and their past visualization feedback. These systems recommend the same visualizations for every user, despite that the underlying user interests, intent, and visualization preferences are likely to be fundamentally different, yet vitally important. In this work, we formally introduce the problem of personalized visualization recommendation and present a… 
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5 Citations

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