Fairness in ranking, part i: Score-based ranking
In the past few years, there has been much work on incorporating fairness requirements into
algorithmic rankers, with contributions coming from the data management, algorithms …
algorithmic rankers, with contributions coming from the data management, algorithms …
Fairness in recommendation ranking through pairwise comparisons
A Beutel, J Chen, T Doshi, H Qian, L Wei… - Proceedings of the 25th …, 2019 - dl.acm.org
Recommender systems are one of the most pervasive applications of machine learning in
industry, with many services using them to match users to products or information. As such it …
industry, with many services using them to match users to products or information. As such it …
Fairness in ranking: A survey
In the past few years, there has been much work on incorporating fairness requirements into
algorithmic rankers, with contributions coming from the data management, algorithms …
algorithmic rankers, with contributions coming from the data management, algorithms …
Designing fair ranking schemes
Items from a database are often ranked based on a combination of criteria. The weight given
to each criterion in the combination can greatly affect the fairness of the produced ranking …
to each criterion in the combination can greatly affect the fairness of the produced ranking …
Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and …
The increasing use of data-driven decision support systems in industry and governments is
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …
accompanied by the discovery of a plethora of bias and unfairness issues in the outputs of …
Operationalizing individual fairness with pairwise fair representations
We revisit the notion of individual fairness proposed by Dwork et al. A central challenge in
operationalizing their approach is the difficulty in eliciting a human specification of a …
operationalizing their approach is the difficulty in eliciting a human specification of a …
Responsible data management
The need for responsible data management intensifies with the growing impact of data on
society. One central locus of the societal impact of data are Automated Decision Systems …
society. One central locus of the societal impact of data are Automated Decision Systems …
A nutritional label for rankings
Algorithmic decisions often result in scoring and ranking individuals to determine credit
worthiness, qualifications for college admissions and employment, and compatibility as …
worthiness, qualifications for college admissions and employment, and compatibility as …
User fairness, item fairness, and diversity for rankings in two-sided markets
L Wang, T Joachims - Proceedings of the 2021 ACM SIGIR international …, 2021 - dl.acm.org
Ranking items by their probability of relevance has long been the goal of conventional
ranking systems. While this maximizes traditional criteria of ranking performance, there is a …
ranking systems. While this maximizes traditional criteria of ranking performance, there is a …
Software fairness
A goal of software engineering research is advancing software quality and the success of
the software engineering process. However, while recent studies have demonstrated a new …
the software engineering process. However, while recent studies have demonstrated a new …