Click-Through Rate Prediction with the User Memory Network

Understand

Click-through rate (CTR) prediction is a critical task in online advertising systems.

• Models like Deep Neural Networks (DNNs) are simple but stateless.
• They consider each target ad independently and cannot directly extract useful information contained in users' historical ad impressions and clicks.
• In contrast, models like Recurrent Neural Networks (RNNs) are stateful but complex.