No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction

This article focuses on a specific technical challenge within the field of conversion rate prediction, addressing the complexities of incomplete and skewed multi-label data. The title suggests a focus on practical application and potentially novel methodologies to improve prediction accuracy. The source, ArXiv, indicates this is a research paper, likely detailing a new approach or improvement on existing techniques.