Deep Learning based Recommender System: A Survey and New Perspectives （2）
感想 篇幅有限，这是接着上面的续篇，let's continue 4.2 基于Autoencoder的推荐系统 现存的两种把autoencoder运用到推荐系统上的方法为：（1）使用autoencoder在bottleneck层学习低维特征表达；（2）直接在重构层填充评分矩阵的空白。 4.2.1 仅仅依赖于Autoencoder的推荐 AutoRec AutoRec把用户部分向量r^((u))或者
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相关文章
- 1. Deep Learning based Recommender System: A Survey and New Perspectives
- 2. Deep Learning based Recommender System:A Survey and New Perspectives
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