Nasim Sonboli - RankMe

32 papers A 11Misc 1Journal 12Unranked 8

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