… the perceptual importance of each location on a webpage (ie, saliency map), we focus our
prediction on temporal attention patterns between page components (ie, how the gaze moves …

… bi-modal webpages consisting of text … attention prediction model for webpage images.
Towards the model building, quantitative visual attention was assigned to the fixated webpage …

… accessibility and usability frameworks which pay little attention to classical concepts of … of
a web page and designers can use this framework to balance web page visual complexity with …

… , etc.) to calculate the salient points on Web pages, which means that it does not directly take
… Considering the fact that vertical results are more likely to attract users’ visual attention, we …

… of user behavior modeling with the contexts of CTR prediction. Then we introduce KFAtt, our
attention … KFAtt to the behavior modeling module in the real online CTR prediction system. …

… Unlike natural images, graphic design documents are created by people to convey
information, such as flyers, webpages, etc. This means that their layout usually directs a viewer’s …

… With this paper, heatmap entropy, or visual attention entropy (VAE), as a descriptive
index for eye tracking has been introduced and its predictive value for web page aesthetics …

… Inspired by the ideas of applying attention mechanism of neural machine translation into
time series prediction, we propose a Transformer based model called attentionbased non-…

… two global attention mechanisms for RNN based conversion prediction which significantly
outperform existing attention … (2) We use the RNN activity attention scores (from the conversion …

… people allocate visual attention on web pages, taking into … is to predict web users’ choices
expressed as clicks on web site objects … brain activity for predicting click intention on web sites. …