Quantifying the Impact of User Attentionon Fair Group Representation in Ranked Lists

Wesley Zeng
Wesley Zeng
Ronald E Robertson
Ronald E Robertson

Companion Proceedings of The 2019 World Wide Web Conference, pp. 553-562, 2019.

Cited by: 8|Bibtex|Views80|DOI:https://doi.org/10.1145/3308560.3317595
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

In this work, we introduce a novel metric for auditing group fairness in ranked lists. Our approach offers two benefits compared to the state of the art. First, we offer a blueprint for modeling of user attention. Rather than assuming a logarithmic loss in importance as a function of the rank, we can account for varying user behaviors thr...More

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