That Recommender Systems Lab
POPROX reached a key milestone in January, opening up for enrollment of subscribers who will complete informed consent paperwork and be available as research subjects. See the project site for POPROX.
Lab 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...