开课单位--伊利诺大学芝加哥分校
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Multi-Round Influence Maximization[多轮影响最大化]
  Lichao Sun(伊利诺大学芝加哥分校) In this paper, we study the Multi-Round Influence Maximization (MRIM) problem, where influence propagates in multiple rounds independently from possib...
热度：38

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SMOILE: A Shopper Marketing Optimization and Inverse Learning Engine[SMOILE：购物者营销优化和反向学习引擎]
  Parshan Pakiman(伊利诺大学芝加哥分校) Product brands employ shopper marketing (SM) strategies to convert shoppers along the path to purchase. Traditional marketing mix models (MMMs), which...
热度：47

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Combining Decision Trees and Neural Networks forLearning-to-Rank in Personal Search[结合决策树和神经网络学习个人搜索排名]
  Pan Li(伊利诺大学芝加哥分校) Decision Trees (DTs) like LambdaMART have been one of the most effective types of learning-to-rank algorithms in the past decade. They typically work ...
热度：52

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Multi-Information Source HIN for Medical Concept Embedding[用于医学概念嵌入的多信息源HIN]
  Yuwei Cao(伊利诺大学芝加哥分校) Multi-Information Source HIN for Medical Concept Embedding
热度：25

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Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs[基于异构GNN的知识保持增量社会事件检测]
  Yuwei Cao(伊利诺大学芝加哥分校) Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
热度：61

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Superways: A Datacenter Topology for Incast-Heavy Workloads[Superways：一种用于增加繁重工作负载的数据中心拓扑]
  Hamed Rezaei(伊利诺大学芝加哥分校) Superways: A Datacenter Topology for Incast-Heavy Workloads
热度：45
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