Deep Neural Networks for YouTube Recommendations
問題 YouTube推薦在以下三個方面有極大的挑戰性： 規模大 新的item多 噪聲 由於稀疏性和一些無法觀測的外部因素，YouTube的歷史用戶行爲是十分難以預測的，而與內容相關的元數據也不能定義一個規整的結構。我們的算法需要足夠健壯以應對我們訓練數據的這些特性。 系統架構 系統中有兩個網絡，分別用於召回（candidate generation）和排序。 召回網絡從用戶行爲歷史中拿到event
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