Published October 14, 2024
| Version v2
Software
Open
Reproduction scripts for "It's Not You, It's Me" at RecSys 2024
Creators
- 1. Pandora-Sirius XM
-
2.
Drexel University
- 3. Paris-Lodron University Salzburg
Description
These are the scripts and documentation for reproducing the experiments and analysis in our RecSys 2024 paper:
Christine Bauer, Andrés Ferraro, and Michael D. Ekstrand. 2024. It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation. To appear as a short paper in Proceedings of the 18th ACM Conference on Recommender Systems (RecSys '24). ACM. DOI 10.1145/3640457.3688163. arXiv:2409.03781 [cs.IR].
This work was supported by the Excellence in Digital Sciences and Interdisciplinary Technologies (EXDIGIT) project, funded by Land Salzburg under grant number 20204-WISS/263/6-6022, and by the U.S. National Science Foundation under grant number 24-15042.
Files
recsys2024-not-you-me.zip
Files
(747.1 kB)
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md5:3f787f2c23919ce96f0453616de0d276
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Additional details
Related works
- Is supplement to
- Conference paper: 10.1145/3640457.3688163 (DOI)
Funding
- U.S. National Science Foundation
- CAREER: User-Based Simulation Methods for Quantifying Sources of Error and Bias in Recommender Systems 1751278