… In this paper, we face directly the challenge of long sequential user behavior … CTR prediction
task. (i) From serving system view, we decouple the most resource-consuming part of user …

… of web search in recent years the problem of modeling its users has started to attract more
and more attention … When we want to predict the movements of two billiard balls after collision, …

… research to improve our understanding and predictive research in terms of making …
Given the justifications for using unobtrusive methods, we will now turn our attention to three …

… While we observe some ways in which higher attention weights … of attention weights better
predict their effects than their magnitudes. We conclude that while attention noisily predicts …

… ) to model users’ sequential behaviors in the CTR prediction task … attention to utilizing
knowledge graph as prior knowledge to explain users’ historical behaviors for better CTR prediction…

… Assuming attention provides a faithful explanation for model predictions, we might expect …
interested in whether attention weights indicate why a model made the prediction that it did. …

… of different users, we propose to use a personalized attention … to user preferences. The
architecture of our personalized … predictor module is used to predict the click score of a user on …

… With the quick development of the Internet, sequential recommendation has … click prediction,
purchase recommendation and web page recommendation. In such applications, each user …

… In the past few years, phishing webpage detection has received much research attention in
… the most effective features on predicting phishing webpages. However, setting thresholds …

… The link size denotes how much attention we want to apply to each neighbor. In this example,
we see that by using attention to focus on a node’s classmates, we can better predict the …