Deep Learning based Recommender System: A Survey and New Perspectives （2）
感想 篇幅有限，這是接着上面的續篇，let's continue 4.2 基於Autoencoder的推薦系統 現存的兩種把autoencoder運用到推薦系統上的方法爲：（1）使用autoencoder在bottleneck層學習低維特徵表達；（2）直接在重構層填充評分矩陣的空白。 4.2.1 僅僅依賴於Autoencoder的推薦 AutoRec AutoRec把用戶部分向量r^((u))或者
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相關文章
- 1. Deep Learning based Recommender System: A Survey and New Perspectives
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