Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysis. Silva, N., Schreck, T., Veas, E., Sabol, V., Eggeling, E., & Fellner, D. W In Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, pages 13, 2018. ACM.
bibtex   
@inproceedings{silva2018leveraging,
  title={Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysis},
  author={Silva, Nelson and Schreck, Tobias and Veas, Eduardo and Sabol, Vedran and Eggeling, Eva and Fellner, Dieter W},
  booktitle={Proceedings of the 2018 ACM Symposium on Eye Tracking Research \& Applications},
  pages={13},
  year={2018},
  organization={ACM}
}

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