CIKM2014参会印象

  • 陆奇(微软执行VP)
    • information, service, interaction
    • linked web graph, real social graph, precise spatial graph, realtime temporal data(sns)
    • natural UI: in-context, proper
    • challenges: nlp, intent, user model, knowledge representation and acquirement, QA, task model for domains, machine learning and feedback
  • CIKM2014 Cup
    • word2vec
    • keyword、entity
    • query expansion
    • session query
  • Gerhard Weikum(数据库和知识库大牛, 关于knowledge graph)
    • sources: dbpedia、yago、freebase
    • entity:relation、category、linkage、popularity、context
    • inference:desc、relation、popularity=>densest graph
    • expert data vs social media
    • long tail entity in social media
    • application: context-aware suggestion
    • application: privacy risk advisor
  • Jeff Dean(Google senior fellow)
    • general model for all tasks
    • 并行化是关键思想, 通过层内只做局部连接
    • dense data靠增加层数,sparse data靠embeddind
    • application: step by step network for translation
    • application: 生成模型做图像理解
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