Balanced Neighborhoods for Multi-sided Fairness in Recommendation. - Robin Burke; Nasim Sonboli; Aldo Ordonez-Gauger (FAT, 2018)

Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. - Diego Sánchez-Moreno; María N. Moreno García; Nasim Sonboli; Bamshad Mobasher; Robin Burke (HAIS, 2018)

Synthetic Attribute Data for Evaluating Consumer-side Fairness. - Robin Burke; Jackson Kontny; Nasim Sonboli (CoRR, 2018)

Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. - Kun Lin; Nasim Sonboli; Bamshad Mobasher; Robin Burke (RMSE@RecSys, 2019)

Personalized fairness-aware re-ranking for microlending. - Weiwen Liu; Jun Guo 008; Nasim Sonboli; Robin Burke; Shengyu Zhang 002 (RecSys, 2019)

Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. - Farzad Eskandanian; Nasim Sonboli; Bamshad Mobasher (UMAP, 2019)

Localized Fairness in Recommender Systems. - Nasim Sonboli; Robin Burke (UMAP (Adjunct Publication), 2019)

Data Science Summer Academy for Chicago Public School Students. - Bamshad Mobasher; Lucia Dettori; Daniela Raicu; Raffaella Settimi; Nasim Sonboli; Monica Stettler (SIGKDD Explor., 2019)

Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial. - Robin D. Burke; Masoud Mansoury; Nasim Sonboli (FAT*, 2020)

Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis. - Kun Lin; Nasim Sonboli; Bamshad Mobasher; Robin Burke (HT, 2020)

3rd FAccTRec Workshop: Responsible Recommendation. - Michael D. Ekstrand; Pierre-Nicolas Schwab; Jean Garcia-Gathright; Toshihiro Kamishima; Nasim Sonboli (RecSys, 2020)

Fairness-aware Recommendation with librec-auto. - Nasim Sonboli; Robin Burke; Zijun Liu; Masoud Mansoury (RecSys, 2020)

Opportunistic Multi-aspect Fairness through Personalized Re-ranking. - Nasim Sonboli; Farzad Eskandanian; Robin Burke; Weiwen Liu; Bamshad Mobasher (UMAP, 2020)

Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems. - Diego Sánchez-Moreno; María N. Moreno García; Nasim Sonboli; Bamshad Mobasher; Robin Burke (WI/IAT, 2020)

Exploring User Opinions of Fairness in Recommender Systems. - Jessie Smith; Nasim Sonboli; Casey Fiesler; Robin Burke (CoRR, 2020)

"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. - Nasim Sonboli; Robin Burke; Nicholas Mattei; Farzad Eskandanian; Tian Gao (CoRR, 2020)

librec-auto: A Tool for Recommender Systems Experimentation. - Nasim Sonboli; Masoud Mansoury; Ziyue Guo; Shreyas Kadekodi; Weiwen Liu; Zijun Liu; Andrew Schwartz; Robin Burke (CIKM, 2021)

FAccTRec 2021: The 4th Workshop on Responsible Recommendation. - Michael D. Ekstrand; Pierre-Nicolas Schwab; Toshihiro Kamishima; Nasim Sonboli (RecSys, 2021)

Fairness and Transparency in Recommendation: The Users' Perspective. - Nasim Sonboli; Jessie J. Smith; Florencia Cabral Berenfus; Robin Burke; Casey Fiesler (UMAP, 2021)

Towards Confidence-aware Calibrated Recommendation. - Mohammadmehdi Naghiaei; Hossein A. Rahmani; Mohammad Aliannejadi; Nasim Sonboli (CIKM, 2022)

FAccTRec 2022: The 5th Workshop on Responsible Recommendation. - Nasim Sonboli; Toshihiro Kamishima; Amifa Raj; Luca Belli; Robin Burke (RecSys, 2022)

Multi-agent Social Choice for Dynamic Fairness-aware Recommendation. - Robin Burke; Nicholas Mattei; Vladislav Grozin; Amy Voida; Nasim Sonboli (UMAP (Adjunct Publication), 2022)

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). - Styliani Kleanthous; Bamshad Mobasher; Tsvika Kuflik; Bettina Berendt; Robin Burke; Jahna Otterbacher; Nasim Sonboli; Avital Shulner-Tal (UMAP (Adjunct Publication), 2022)

The Multisided Complexity of Fairness in Recommender Systems. - Nasim Sonboli; Robin Burke; Michael D. Ekstrand; Rishabh Mehrotra (AI Mag., 2022)

FAccTRec 2023: The 6th Workshop on Responsible Recommendation. - Michael D. Ekstrand; Jean Garcia-Gathright; Nasim Sonboli; Amifa Raj; Karlijn Dinnissen (RecSys, 2023)

Community Driven Approaches to Research in Technology & Society CCC Workshop Report. - Suresh Venkatasubramanian; Timnit Gebru; Ufuk Topcu; Haley Griffin; Leah Namisa Rosenbloom; Nasim Sonboli (CoRR, 2024)

The trade-off between data minimization and fairness in collaborative filtering. - Nasim Sonboli; Sipei Li; Mehdi Elahi; Asia Biega (CoRR, 2024)