Nasim Sonboli

1. Exploring User Opinions of Fairness in Recommender Systems
   2020/03/13 by Jessie J. Smith, Smith, Jessie, Nasim Sonboli +5 · 2 citations
   Computer Science · Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Recommender Systems and Techniques
2. Towards Confidence-aware Calibrated Recommendation
   2022/08/22 by Mohammadmehdi Naghiaei, Naghiaei, Mohammadmehdi, Hossein A. Rahmani +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
3. Synthetic Attribute Data for Evaluating Consumer-side Fairness
   2018/09/12 by Robin Burke, Jackson Kontny, Burke, Robin +3 · 1 citation
   Computer Science · Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing
4. The trade-off between data minimization and fairness in collaborative filtering
   2024/09/21 by Nasim Sonboli, S.J. Li, Sonboli, Nasim +5 · 1 citation
   Computer Science · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data