Overview
WSDM is one of the premier conferences on web-inspired research involving search and data mining. It includes invited talks, as well as refereed full papers. WSDM publishes original, high-quality papers related to search and data mining on the web and the social web, with an emphasis on practical, yet principled, novel models of search and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance.
Amazon organizing committee members
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Senior program committee member
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Senior program committee member
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Senior program committee member
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Senior program committee member
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Senior program committee member
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Program committee member
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Konstantinos DimopoulosProgram committee member
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Program committee member
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Program committee member
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Marina HaikinProgram committee member
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Nissim HalabiProgram committee member
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Program committee member
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Program committee member
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Program committee member
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Program committee member
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Program committee member
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Chen LuoProgram committee member
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Jun MaProgram committee member
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Animesh PrasadProgram committee member
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Lahari PoddarProgram committee member
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Ashwani RaoProgram committee member
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Prashant ShiralkarProgram committee member
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Program committee member
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Xianfeng TangProgram committee member
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Mingfei TengProgram committee member
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Sofia TolmachProgram committee member
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Program committee member
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Program committee member
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Yikun XianProgram committee member
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Ning XieProgram committee member
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Program committee member
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Program committee member
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Program committee member
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Program committee member
Accepted publications
Related content
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October 05, 2023The service, which is now generally available, uses machine learning to make it faster and easier to catalog, discover, share, and govern data.
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August 04, 2023Conference general chair and Amazon Scholar Yizhou Sun on modeling long-range dependencies, improving efficiency, and new causal models.
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August 17, 2022In tests, new approach is 15 to 18 times as fast as predecessors.
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February 17, 2022Amazon’s George Karypis will give a keynote address on graph neural networks, a field in which “there is some fundamental theoretical stuff that we still need to understand.”