论文笔记之 Collaborative Deep Learning for Recommender Systems
这篇论文是KDD2015的一篇用DL去做RS的论文。想法挺有意思的。 看过论文的同学都知道整体的模型可以用下图表示： 这里只讲讲整体的思路与理解： 1）这是一个CF和CBF结合用bayes去做 2）CBF主要是体现在整个用SDAE提取item特征。 3）bayes体现在，网络中的各种参数是加了一个beyas先验生成的。 4）CF体现在，对于u和i这两个向量的生成，用两个不同的高斯先验，来生成，la
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相关文章
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- 9. Paper Reading:Wide & Deep Learning for Recommender Systems
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