Time-Aware User Identification with Topic Models
這篇文章的應用場景（問題）是針對當個賬號對應多個使用者的情況，現實的舉例為網路電視中，家庭賬號，所有成員使用。如果可以識別出使用者，可以可以從基於賬號的服務改變為基於使用者的服務——學習系統需要知道使用者數量，但是不知道哪個使用者線上（active）——作者基於LDA模型，聯合構建使用者的item consumption profile和time consumption profile，從而識別使用者。
盤子圖如下：
所以有log似然函式：
最後使用EM演算法推斷引數（不會啊）
然後我們看一看實驗：
資料來自電影評分
item topic 類似電影標籤
time topic 給定主題在一週內的概率密度
對比實驗很少。
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