开课单位--阿里巴巴集团
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Cascade Ranking for Operational Ecommerce Search[运营电子商务搜索级联排名]
  刘世臣(阿里巴巴集团 ) In the 'Big Data' era, many real-world applications like search involve the ranking problem for a large number of items. It is important to ob...
热度：10

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Learning and Transferring IDs Representation in E‑commerce[电子商务中ID表示的学习和传递]
  Kui Zhao(阿里巴巴集团) Many machine intelligence techniques are developed in E-commerce and one of the most essential components is the representation of IDs, including user...
热度：24

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Perceive Your Users in Depth: Learning Universal User Representations from Multiple E‑commerce Tasks[深入感知用户：从多个电子商务任务中学习通用用户表示]
  Yabo Ni(阿里巴巴集团) Tasks such as search and recommendation have become increasingly important for E-commerce to deal with the information overload problem. To meet the d...
热度：38

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Aligraph: A Comprehensive Graph Neural Network Platform[Aligraph：一个综合图神经网络平台]
  Hongxia Yang(阿里巴巴集团) An increasing number of machine learning tasks require dealing with large graph datasets, which capture rich and complex relationship among potentiall...
热度：50

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Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems[基于检索的问答系统跨领域知识提取]
  Shiyao Wang(阿里巴巴集团) Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems
热度：32

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A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising[展示广告创意排名的视觉先验混合Bandit模型]
  Shiyao Wang(阿里巴巴集团) A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising
热度：33

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Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection[适应自然对话中的语境感知知识进行多轮反应选择]
  Chen Zhang(阿里巴巴集团) Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection
热度：36

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FINN: Feedback Interactive Neural Network for Intent Recommendation[FINN：用于意向推荐的反馈交互式神经网络]
  Biyu Ma(阿里巴巴集团) FINN: Feedback Interactive Neural Network for Intent Recommendation
热度：75
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