
Predicting click-through rates (CTR) is an indispensable element in the realm of online advertising and recommendation systems, as it plays a crucial role in optimizing the cost-per-click (CPC) revenue model, thereby influencing the financial success of advertising platforms. With the sophistication of digital interactions, understanding the probability that users will click on recommended content becomes imperative. Accurate CTR predictions not










