Automated prediction of visual complexity of web pages: Tools and evaluations

Eleni Michailidou; Sukru Eraslan; Yeliz Yesilada; Simon Harper

doi:10.5281/zenodo.4416069

Published January 4, 2021 | Version 1

Dataset Open

Automated prediction of visual complexity of web pages: Tools and evaluations

1. CRM.COM Software Development Ltd, Nicosia, Cyprus
2. Middle East Technical University Northern Cyprus Campus, 99738 Kalkanlı, Güzelyurt, Mersin 10, Turkey
3. Department of Computer Science, University of Manchester,Manchester, United Kingdom

This dataset includes the screenshots of the web pages used for the evaluation of ViCRAM which is described in the following paper:

Eleni Michailidou, Sukru Eraslan, Yeliz Yesilada, and Simon Harper. 2020. Automated Prediction of Visual Complexity of Web Pages: Tools and Evaluations. International Journal of Human-Computer Studies (SCI-E, SSCI), 145, 102523.

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Zenodo

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International Journal of Human-Computer Studies, 145, 102523, 2021.

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

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Created: January 4, 2021
Modified: January 6, 2021

Automated prediction of visual complexity of web pages: Tools and evaluations

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Files

vicram-evaluation-webpages.zip

Files (8.5 MB)