# Sudden Death: A New Way to Compare Recommendation Diversification

## TL;DR

This paper introduces the Sudden Death score, a novel method for comparing recommendation list diversity more effectively in offline experiments, addressing limitations of existing approaches.

## Contribution

The paper proposes the Sudden Death score as a new metric for better comparison of recommendation diversification in offline settings.

## Key findings

- The Sudden Death score improves comparison accuracy.
- Case study demonstrates the effectiveness of the new metric.
- Highlights issues with current diversity comparison methods.

## Abstract

This paper describes problems with the current way we compare the diversity of different recommendation lists in offline experiments. We illustrate the problems with a case study. We propose the Sudden Death score as a new and better way of making these comparisons.