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Robin Burke

  1. The Unfairness of Popularity Bias in Recommendation
    2019/07/31 by Himan Abdollahpouri, Masoud Mansoury, Abdollahpouri, Himan +5 · 20 citations
    Computer Science · Decision Sciences · Business, Management and Accounting · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research #Consumer Market Behavior and Pricing
  2. Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
    2019/01/22 by Himan Abdollahpouri, Abdollahpouri, Himan, Robin Burke +3 · 18 citations
    Computer Science · Business, Management and Accounting · Decision Sciences · #Recommender Systems and Techniques #Consumer Market Behavior and Pricing #Advanced Bandit Algorithms Research
  3. The Connection Between Popularity Bias, Calibration, and Fairness in\n Recommendation
    2020/08/20 by Himan Abdollahpouri, Masoud Mansoury, Abdollahpouri, Himan +5 · 9 citations
    Business, Management and Accounting · Computer Science · #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  4. Multi-stakeholder Recommendation and its Connection to Multi-sided\n Fairness
    2019/07/30 by Himan Abdollahpouri, Robin Burke, Abdollahpouri, Himan +1 · 10 citations
    Decision Sciences · Environmental Science · Social Sciences · #Decision-Making and Behavioral Economics #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Sustainability and Climate Change Governance
  5. Personalizing Fairness-aware Re-ranking
    2018/09/09 by Weiwen Liu, Liu, Weiwen, Robin Burke +1 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques
  6. Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison
    2019/08/02 by Masoud Mansoury, Bamshad Mobasher, Mansoury, Masoud +5 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #Social and Information Networks (cs.SI)
  7. The Impact of Popularity Bias on Fairness and Calibration in\n Recommendation
    2019/10/13 by Himan Abdollahpouri, Masoud Mansoury, Abdollahpouri, Himan +5 · 3 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Bandit Algorithms Research
  8. De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
    2025/01/09 by Robin Burke, Burke, Robin, Gediminas Adomavičius +17 · 7 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques
  9. Synthetic Attribute Data for Evaluating Consumer-side Fairness
    2018/09/12 by Robin Burke, Burke, Robin, Jackson Kontny +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
  10. Dynamic fairness-aware recommendation through multi-agent social choice
    2023/03/02 by Amanda Aird, Paresha Farastu, Aird, Amanda +11 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Decision-Making and Behavioral Economics #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Game Theory and Voting Systems
  11. Exploring User Opinions of Fairness in Recommender Systems
    2020/03/13 by Jessie J. Smith, Smith, Jessie, Nasim Sonboli +5 · 1 citation
    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
  12. Who Pays? Personalization, Bossiness and the Cost of Fairness
    2022/09/08 by Paresha Farastu, Nicholas Mattei, Farastu, Paresha +3 · 1 citation
    Business, Management and Accounting · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Sharing Economy and Platforms
  13. What News Recommendation Research Did (But Mostly Didn't) Teach Us About Building A News Recommender
    2025/09/15 by Karl Higley, Higley, Karl, Robin Burke +5 · 1 citation
    Social Sciences · #Computational and Text Analysis Methods #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Public Relations and Crisis Communication #Qualitative Research Methods and Applications
  14. Post-Userist Recommender Systems : A Manifesto
    2024/10/09 by Robin Burke, Mark E. Sylvester, Burke, Robin +1 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Information Retrieval (cs.IR) #Recommender Systems and Techniques