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个人简介
Conducts research in personalized recommender systems, a field he helped found and develop. His most recent projects explore fairness, accountability and transparency in recommendation through the integration of objectives from diverse stakeholders. Professor Burke is the author of more than 70 peer-reviewed articles in various areas of artificial intelligence including recommender systems, machine learning and information retrieval. His work has received support from the National Science Foundation, the National Endowment for the Humanities, the Fulbright Commission and the MacArthur Foundation, among others.
研究兴趣
论文共 279 篇作者统计合作学者相似作者
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Adrien Bibal, Nourah M. Salem, Rémi Cardon,Elizabeth K. White, Daniel E. Acuna, Robin Burke,Lawrence E. Hunter
Journal of Biomedical Semanticsno. 1 (2024): 1-19
Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman,Nicholas Mattei,Robin Burke,Amy Voida
FAccTpp.1652-1663, (2023)
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CoRR (2023)
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2023 ADJUNCT PROCEEDINGS OF THE 31ST ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2023pp.239-240, (2023)
PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023pp.1267-1268, (2023)
Amanda Aird,Paresha Farastu,Joshua Sun, Elena Štefancová, Cassidy All,Amy Voida,Nicholas Mattei,Robin Burke
arxiv(2023)
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