Diversity

Diversity in data sampling refers to ensuring that the samples collected cover a wide range of variations and perspectives during the data collection process. The goal is to build more robust, unbiased, and comprehensive models. In application scenarios such as search and recommendation systems, diversity can prevent redundant results and enhance the breadth and quality of information users obtain.