A data-driven approach for recommending UI element layout
Published in Science China Information Sciences, 2020
We propose an approach to mine layout patterns and recommend the proper placement and size for UI layout implementation. Based on 146942 UI pages collected from 21233 Android apps, our approach could extract the UI element examples to generate a heatmap based on user input. Heuristic rules and edge detection were used to find layout patterns. The experiment results show that our method is effective in recommending valuable layout patterns and the accuracy of our approach needs to be improved.
Recommended citation: Y. Long, X. Chen, X. Xie (2020). "A data-driven approach for recommending UI element layout". Science China Information Sciences.
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