most citedMuch Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

17 citations · 26 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IR20232 cited

Unified Browsing Models for Linear and Grid Layouts

Amifa Raj, Michael Ekstrand

Many information access systems operationalize their results in terms of rankings, which are then displayed to users in various ranking layouts such as linear lists or grids. User…

cs.IR2023

Towards Measuring Fairness in Grid Layout in Recommender Systems

Amifa Raj, Michael D. Ekstrand

There has been significant research in the last five years on ensuring the providers of items in a recommender system are treated fairly, particularly in terms of the exposure the…

cs.IR20235 cited

Patterns of gender-specializing query reformulation

Amifa Raj, Bhaskar Mitra, Nick Craswell +1

Users of search systems often reformulate their queries by adding query terms to reflect their evolving information need or to more precisely express their information need when th…

cs.IR2023

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…

cs.IR2023

Overview of the TREC 2022 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…

cs.IR202317 cited

Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access

Christine Pinney, Amifa Raj, Alex Hanna +1

Information access research (and development) sometimes makes use of gender, whether to report on the demographics of participants in a user study, as inputs to personalized result…