Published in

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications - ETRA '18

DOI: 10.1145/3204493.3204546

Links

Tools

Export citation

Search in Google Scholar

Leveraging eye-gaze and time-series features to predict user interests and build a recommendation model for visual analysis

This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Full text: Unavailable

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown