Yi-Chun Chang

CAT-Former: A Causal Attention Transformer Framework for User Retention Prediction and Incremental Value Attribution in Advertising Systems Attacks

In modern advertising systems, accurately predicting user retention while quantifying the incremental impact of advertising interventions is critical for optimizing budget allocation, improving return on investment, and enhancing long-term user engagement in large-scale digital platforms. However, existing approaches l...