Analyzing Rank Graduation Metrics for High-Dimensional Ordinal Data

This ArXiv paper likely delves into the complexities of evaluating models trained on ordinal data, a common scenario in many AI applications. It's crucial research, as effective evaluation metrics are vital for progress in fields utilizing ordinal data such as recommender systems or sentiment analysis.