Towards Real-time Webpage Relevance Prediction UsingConvex Hull Based Eye-tracking Features-Reference-Cited by-同舟云学术

Towards Real-time Webpage Relevance Prediction UsingConvex Hull Based Eye-tracking Features

Published:2020-06-02 Issue: Volume: Page:
ISSN:
Container-title:Symposium on Eye Tracking Research and Applications
language:
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Author:

Bhattacharya Nilavra¹,Rakshit Somnath²,Gwizdka Jacek³

Affiliation:

1. School of Information University of Texas at Austin Austin Texas United States, USA

2. School of Information The University of Texas at Austin Austin Texas United States

3. School of Information University of Texas at Austin Austin Texas United States

Funder

Google

Lockheed Martin Corporation

Institute of Museum and Library Services

Publisher

ACM

Reference42 articles.

1. A robust realtime reading-skimming classifier

2. Tanja Blascheck Kuno Kurzhals Michael Raschke Michael Burch Daniel Weiskopf and Thomas Ertl. 2014. State-of-the-Art of Visualization for Eye Tracking Data.. In EuroVis (STARs). Tanja Blascheck Kuno Kurzhals Michael Raschke Michael Burch Daniel Weiskopf and Thomas Ertl. 2014. State-of-the-Art of Visualization for Eye Tracking Data.. In EuroVis (STARs).

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