Nasim Sonboli

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Topics

Contextual Bandit

Recommender Systems

Top Venues

UMAP (Adjunct Publication)

Publications

Suresh Venkatasubramanian, Timnit Gebru, Ufuk Topcu, Haley Griffin, Leah Namisa Rosenbloom, Nasim Sonboli
Community Driven Approaches to Research in Technology & Society CCC Workshop Report. CoRR (2024)
Michael D. Ekstrand, Jean Garcia-Gathright, Nasim Sonboli, Amifa Raj, Karlijn Dinnissen
FAccTRec 2023: The 6th Workshop on Responsible Recommendation. RecSys (2023)
Nasim Sonboli, Toshihiro Kamishima, Amifa Raj, Luca Belli, Robin Burke
FAccTRec 2022: The 5th Workshop on Responsible Recommendation. RecSys (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli
Towards Confidence-aware Calibrated Recommendation. CoRR (2022)
Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner Tal
5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022). UMAP (Adjunct Publication) (2022)
Robin Burke, Nicholas Mattei, Vladislav Grozin, Amy Voida, Nasim Sonboli
Multi-agent Social Choice for Dynamic Fairness-aware Recommendation. UMAP (Adjunct Publication) (2022)
Nasim Sonboli, Robin Burke, Michael D. Ekstrand, Rishabh Mehrotra
The Multisided Complexity of Fairness in Recommender Systems. AI Mag. 43 (2) (2022)
Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli
Towards Confidence-aware Calibrated Recommendation. CIKM (2022)
Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
Fairness and Transparency in Recommendation: The Users' Perspective. CoRR (2021)
Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
librec-auto: A Tool for Recommender Systems Experimentation. CIKM (2021)
Nasim Sonboli, Jessie J. Smith, Florencia Cabral Berenfus, Robin Burke, Casey Fiesler
Fairness and Transparency in Recommendation: The Users' Perspective. UMAP (2021)
Michael D. Ekstrand, Pierre-Nicolas Schwab, Toshihiro Kamishima, Nasim Sonboli
FAccTRec 2021: The 4th Workshop on Responsible Recommendation. RecSys (2021)
Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke
Exploring User Opinions of Fairness in Recommender Systems. CoRR (2020)
Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury
Fairness-aware Recommendation with librec-auto. RecSys (2020)
Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems. WI/IAT (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. CoRR (2020)
Nasim Sonboli, Robin Burke, Nicholas Mattei, Farzad Eskandanian, Tian Gao
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation. CoRR (2020)
Michael D. Ekstrand, Pierre-Nicolas Schwab, Jean Garcia-Gathright, Toshihiro Kamishima, Nasim Sonboli
3rd FAccTRec Workshop: Responsible Recommendation. RecSys (2020)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis. HT (2020)
Robin D. Burke, Masoud Mansoury, Nasim Sonboli
Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial. FAT* (2020)
Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher
Opportunistic Multi-aspect Fairness through Personalized Re-ranking. UMAP (2020)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. RMSE@RecSys (2019)
Bamshad Mobasher, Lucia Dettori, Daniela Raicu, Raffaella Settimi, Nasim Sonboli, Monica Stettler
Data Science Summer Academy for Chicago Public School Students. SIGKDD Explor. 21 (1) (2019)
Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang
Personalized fairness-aware re-ranking for microlending. RecSys (2019)
Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Crank up the volume: preference bias amplification in collaborative recommendation. CoRR (2019)
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. UMAP (2019)
Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. CoRR (2019)
Nasim Sonboli, Robin Burke
Localized Fairness in Recommender Systems. UMAP (Adjunct Publication) (2019)
Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke
Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services. HAIS (2018)
Robin Burke, Jackson Kontny, Nasim Sonboli
Synthetic Attribute Data for Evaluating Consumer-side Fairness. CoRR (2018)
Robin Burke, Nasim Sonboli, Aldo Ordonez-Gauger
Balanced Neighborhoods for Multi-sided Fairness in Recommendation. FAT (2018)