That Recommender Systems LabLab members Nasim Sonboli and Jessie J. Smith (Jess) recently published their paper "Fairness and Transparency in Recommendation: The Users’ Perspective" in the UMAP 2021 conference. To share this user study with the general public, Jess wrote a Medium article outlining some of the motivation behin...
This week we released the latest version of librec-auto, a tool for automating batch-style recommender systems experiments. The GitHub repository is (https://github.com/that-recsys-lab/librec-auto). See also the documentation.
Among the new features available in this version are:
- Fairness...
Three of us (Aldo Ordonez-Gauger, Robin Burke, and Xavier Sepulveda) presented a poster and a demo of librec-auto, our automation tool for LibRec experiments. There was a lot of interest from the crowd and it was a great experience for the two students. We now have a long list of features that p...
Weiwei Liu presented our paper "Personalizing Fairness-aware Re-ranking" at the 2nd FATRec workshop and introducing our work on provider-side fairness with Kiva.org. See the publication.
Robin Burke presented the paper "Synthetic Attribute Data for Evaluating Consumer-side Fairness" in the aftern...