… predicting visual attention on webpages is explored in [5] (this work uses a dataset of 361
webpages… and positional bias was proposed to predict Fixations on the Webpage Image (FiWI) …

… to detect a user’s search attention [12] and correlate with the user’s eye gaze position [9]. …
In addition, many web pages, and especially the “Search Result” page which presents the links …

… First, we recommend candidate patterns and guide the user attention via automated
visualizations, controlled by a model that uses both eye-gaze and time-series features. Second, a …

… Web sites with the appropriate attribution. WWW ’20, April 20–24, 2020, Taipei, Taiwan …
We test different forms of attention computation formulas for the baselines based on attention …

… challenging task in the current scenario, which draws the attention of … Web page prediction
means anticipating the next page that will be accessed by the user when browsing a website. …

… to effectively predict user clicks when … attention mechanism to multi-head attention to
stabilize the learning process of GAT. Specifically, B independent asymmetric node-level attention …

… cal ads/content in publishers’ web pages, eg, product pages in amazon.com. The main
goal of advertisers is to reach the most receptive end users in mobile phones/desktops with im…

… of predicting the user intent, based on the queries that were used to access a certain webpage…
In [14] they first label web pages and then classify user queries in the three classes, based …

… Then, we input it into the multihead attention mechanism for prediction, which improves the
… the attention module to predict the user representation according to the user representation …

… complex temporal pattern, which has not been explored in previous methods. As more
complicated temporal features fed into the predictive … the dynamic attention between nodes during …