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09/21/2023
Candidate Set Sampling for Evaluating Top-N Recommendation
The strategy for selecting candidate sets – the set of items that the re...
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09/19/2023
Towards Measuring Fairness in Grid Layout in Recommender Systems
There has been significant research in the last five years on ensuring t...
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09/12/2023
Distributionally-Informed Recommender System Evaluation
Current practice for evaluating recommender systems typically focuses on...
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05/03/2023
Inference at Scale Significance Testing for Large Search and Recommendation Experiments
A number of information retrieval studies have been done to assess which...
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04/25/2023
Patterns of gender-specializing query reformulation
Users of search systems often reformulate their queries by adding query ...
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02/21/2023
Overview of the TREC 2021 Fair Ranking Track
The TREC Fair Ranking Track aims to provide a platform for participants ...
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02/11/2023
Overview of the TREC 2022 Fair Ranking Track
The TREC Fair Ranking Track aims to provide a platform for participants ...
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01/12/2023
Much Ado About Gender: Current Practices and Future Recommendations for Appropriate Gender-Aware Information Access
Information access research (and development) sometimes makes use of gen...
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09/06/2022
Matching Consumer Fairness Objectives Strategies for RecSys
The last several years have brought a growing body of work on ensuring t...
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06/28/2022
Fire Dragon and Unicorn Princess; Gender Stereotypes and Children's Products in Search Engine Responses
Search engines in e-commerce settings allow users to search, browse, and...
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10/02/2021
Multiversal Simulacra: Understanding Hypotheticals and Possible Worlds Through Simulation
Recommender systems research is concerned with many aspects of recommend...
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09/14/2021
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse
This paper calls attention to the missing component of the recommender s...
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08/11/2021
Overview of the TREC 2020 Fair Ranking Track
This paper provides an overview of the NIST TREC 2020 Fair Ranking track...
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05/13/2021
Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations
In this position paper, we argue for the need to investigate if and how ...
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05/12/2021
Fairness and Discrimination in Information Access Systems
Recommendation, information retrieval, and other information access syst...
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09/02/2020
Comparing Fair Ranking Metrics
Ranking is a fundamental aspect of recommender systems. However, ranked ...
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04/27/2020
Evaluating Stochastic Rankings with Expected Exposure
We introduce the concept of expected exposure as the average attention r...
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03/25/2020
Overview of the TREC 2019 Fair Ranking Track
The goal of the TREC Fair Ranking track was to develop a benchmark for e...
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01/26/2020
Estimating Error and Bias in Offline Evaluation Results
Offline evaluations of recommender systems attempt to estimate users' sa...
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07/12/2019
Proceedings of FACTS-IR 2019
The proceedings list for the program of FACTS-IR 2019, the Workshop on F...
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02/04/2019
Recommender Systems Notation: Proposed Common Notation for Teaching and Research
As the field of recommender systems has developed, authors have used a m...
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09/10/2018
The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project
Since 2010, we have built and maintained LensKit, an open-source toolkit...
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08/22/2018
