most citedA Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2022★ 2 cited

A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance

Tetsuya Sakai, Jin Young Kim, Inho Kang

We present a simple and versatile framework for evaluating ranked lists in terms of group fairness and relevance, where the groups (i.e., possible attribute values) can be either n…