Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
Published in 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024
Develops interpretable deep learning models to forecast online advertising costs, with insights into competitive bidding dynamics in programmatic advertising.
Recommended citation: Fynn Oldenburg, Qiwei Han, Maximilian Kaiser (2024). Interpretable Deep Learning for Forecasting Online Advertising Costs. 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA), San Diego CA.