176 citations · 697 across the 27 of their papers we have counts for
4 papers · 1 filter
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery
Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi
As online music platforms grow, music recommender systems play a vital role in helping users navigate and discover content within their vast musical databases. At odds with this la…
Best-Case Retrieval Evaluation: Improving the Sensitivity of Reciprocal Rank with Lexicographic Precision
Fernando Diaz
Across a variety of ranking tasks, researchers use reciprocal rank to measure the effectiveness for users interested in exactly one relevant item. Despite its widespread use, evide…
Overview of the TREC 2021 Fair Ranking Track
Michael D. Ekstrand, Graham McDonald, Amifa Raj +1
The TREC Fair Ranking Track aims to provide a platform for participants to develop and evaluate novel retrieval algorithms that can provide a fair exposure to a mixture of demograp…
Recall, Robustness, and Lexicographic Evaluation
Fernando Diaz, Michael D. Ekstrand, Bhaskar Mitra
Although originally developed to evaluate sets of items, recall is often used to evaluate rankings of items, including those produced by recommender, retrieval, and other machine l…