Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao

Understand

As one of the largest e-commerce platforms in the world, Taobao's recommendation systems (RSs) serve the demands of shopping for hundreds of millions of customers.

• Click-Through Rate (CTR) prediction is a core component of the RS.
• One of the biggest characteristics in CTR prediction at Taobao is that there exist multiple recommendation domains where the scales of different domains vary significantly.
• Therefore, it is crucial to perform cross-domain CTR prediction to transfer knowledge from large domains to small domains to alleviate the data sparsity issue.