开课单位--谷歌股份有限公司的研究
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Q&R: A Two‑Stage Approach toward Interactive Recommendation[问答：互动推荐的两阶段方法]
  Alex Beutel(谷歌股份有限公司的研究) Recommendation systems, prevalent in many applications, aim to surface to users the right content at the right time. Recently, researchers have aspire...
热度：19

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Diversification-Aware Learning to Rank using Distributed Representation[使用分布式表示的多样化感知排序学习]
  Le Yan(谷歌股份有限公司的研究) Diversification-Aware Learning to Rank using Distributed Representation
热度：43

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Towards Efficient Auctions for Auto-bidders[面向汽车竞购者的高效拍卖]
  Yuan Deng(谷歌股份有限公司的研究) Towards Efficient Auctions for Auto-bidders
热度：39
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