research
∙
08/25/2023
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness
In learning-to-rank (LTR), optimizing only the relevance (or the expecte...
share
research
∙
06/21/2023
Sampling Individually-Fair Rankings that are Always Group Fair
Rankings on online platforms help their end-users find the relevant info...
research
∙
08/22/2022
Socially Fair Center-based and Linear Subspace Clustering
Center-based clustering (e.g., k-means, k-medians) and clustering using ...
research
∙
03/02/2022
Sampling Random Group Fair Rankings
In this paper, we consider the problem of randomized group fair ranking ...
research
∙
09/24/2020
Ranking for Individual and Group Fairness Simultaneously
Search and recommendation systems, such as search engines, recruiting to...
research
∙
02/22/2019
Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining
With the multitude of companies and organizations abound today, ranking ...
research
∙
05/16/2018
